2,714 results
Search Results
2. Mining, Identification, and Characterization of Three Xylanases from the Microbiota of T. fuciformis with Its Companion Strains.
- Author
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Lin, Yanhuan, Li, Changle, Wei, Chenxin, Lin, Hui, and Zhang, Liaoyuan
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XYLANASES ,ESCHERICHIA coli ,POST-translational modification ,MOLECULAR cloning ,PAPER industry ,AGRICULTURAL development - Abstract
Microbial xylanase has wide application in bioenergy, animal feed, environmental protection, the pulp and paper industry, and agricultural development. In this study, three xylanases from the microbiota of T. fuciformis with its companion strains were identified by metagenomics sequencing. The three enzymes were subjected to cloning and expression in E. coli or P. pastoris, purification, and characterization for their properties. The results showed that AsXyn1, from Annulohypoxylon stygium, among the three enzymes possessed high thermostability at 40 °C and broad pH tolerance in the range of 2.0–10.0, exhibiting its application potential. Furthermore, it was found that post-translational modification (such as glycosylation) of AsXyn1 enzyme modulated its activity, kinetic parameters, and thermostability. These results and findings provided a hint for enzyme modification and design in future. [ABSTRACT FROM AUTHOR]
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- 2024
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3. Paper 15: DIFFICULTIES WITH PLANNED AGRICULTURAL CHANGE IN THE POST-PLANTATION CARIBBEAN
- Author
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Richardson, Bonham C.
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- 1973
4. Paper 17: THE RISE AND DECLINE OF GEOGRAPHY IN BRAZILIAN DEVELOPMENT PLANNING: SOME LESSONS TO BE LEARNED
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Mandell, Paul I.
- Published
- 1973
5. Research on SLAM Localization Algorithm for Orchard Dynamic Vision Based on YOLOD-SLAM2.
- Author
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Ma, Zhen, Yang, Siyuan, Li, Jingbin, and Qi, Jiangtao
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AGRICULTURAL development ,MEASUREMENT errors ,TREE trunks ,AGRICULTURE ,ORCHARDS - Abstract
With the development of agriculture, the complexity and dynamism of orchard environments pose challenges to the perception and positioning of inter-row environments for agricultural vehicles. This paper proposes a method for extracting navigation lines and measuring pedestrian obstacles. The improved YOLOv5 algorithm is used to detect tree trunks between left and right rows in orchards. The experimental results show that the average angle deviation of the extracted navigation lines was less than 5 degrees, verifying its accuracy. Due to the variable posture of pedestrians and ineffective camera depth, a distance measurement algorithm based on a four-zone depth comparison is proposed for pedestrian obstacle distance measurement. Experimental results showed that within a range of 6 m, the average relative error of distance measurement did not exceed 1%, and within a range of 9 m, the maximum relative error was 2.03%. The average distance measurement time was 30 ms, which could accurately and quickly achieve pedestrian distance measurement in orchard environments. On the publicly available TUM RGB-D dynamic dataset, YOLOD-SLAM2 significantly reduced the RMSE index of absolute trajectory error compared to the ORB-SLAM2 algorithm, which was less than 0.05 m/s. In actual orchard environments, YOLOD-SLAM2 had a higher degree of agreement between the estimated trajectory and the true trajectory when the vehicle was traveling in straight and circular directions. The RMSE index of the absolute trajectory error was less than 0.03 m/s, and the average tracking time was 47 ms, indicating that the YOLOD-SLAM2 algorithm proposed in this paper could meet the accuracy and real-time requirements of agricultural vehicle positioning in orchard environments. [ABSTRACT FROM AUTHOR]
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- 2024
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6. Innovating Methods of Agricultural Development Research and Practice.
- Author
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Roberts, T. G.
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AGRICULTURAL development ,AGRICULTURAL research ,RESEARCH & development ,SUSTAINABLE development ,RESEARCH institutes - Abstract
As we race towards 2030, the target date for achieving the U.N. Sustainable Development Goals, it is critical that we examine our approaches to agricultural development research and practice. We should not expect extraordinary results by using the approaches we have always used. Rather, we must innovate. To that end, Advancements in Agricultural Development held a Symposium on Methods of Agricultural Development Research and Practice in October 2023 on the University of Reading campus, co-hosted by the School of Agriculture, Policy and Development. We invited recognized experts from around the world to develop papers focused on innovative methods of agricultural development practice or innovative methods of agricultural development research. We had ten papers presented that were authored by 26 researchers representing 13 universities/research institutes in 6 countries. Sixteen authors attended the symposium to present their papers. A healthy dialogue followed each presentation to help authors refine their papers, resulting in the articles published in this special issue. A summary of each article is provided. [ABSTRACT FROM AUTHOR]
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- 2024
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7. QUANTITATIVE APPROACH TO INFLUENCING DRIVERS FOR SUSTAINABLE AGRICULTURE DEVELOPMENT.
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DRAGOMIR, Vili, BOLBOASA, Bianca, RODINO, Steliana, and BUTU, Marian
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SUSTAINABILITY ,AGRICULTURAL development ,NATURAL resources ,CLIMATE change ,BIBLIOMETRICS - Abstract
The need to address the complex exchanges between natural resource efficiency and economic growth has become increasingly discussed in worldwide strategies and position papers. Resource depletion, environmental challenges and climate change are just a few topics related to fast industrialization and economic expansion. The question is how information regarding crops, climatic factors, or solutions used in plant treatment are managed. The purpose of this paper is to provide an overview of the scientific environment regarding quantitative indicators and models for the assessment of sustainable agriculture practices. The study is based on a bibliometric analysis made using Web of science database and processing using biblioshiny environment from R package. The most relevant works and influential authors in the field of quantitative modelling for sustainable agriculture were identified and a set of indicators and metrics for evaluating efforts in transitioning towards sustainability were synthetised. Integrating practical data into quantitative models can provide insights into trends, correlations, or even predictions, and the results obtained serve as inputs for decision-makers. [ABSTRACT FROM AUTHOR]
- Published
- 2024
8. AGRICULTURAL AND RURAL DEVELOPMENT IN THE CONTEXT OF A CIRCULAR ECONOMY IN THE EUROPEAN UNION AND FRANCOPHONIE STATES. CASE STUDY: ROMANIA.
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CHEREJI, Aurelia-Ioana, CHIURCIU, Irina-Adriana, and SEBE, Mihai
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CIRCULAR economy ,AGRICULTURAL industries ,AGRICULTURAL development ,RURAL development ,FOOD chains - Abstract
The paper presents the current situation as regards the circular economy in agriculture in Romania, while also taking into consideration its global impact. We have here a system globally endorsed by the United Nations. It is also important for regional organisations such as the European Union or la Francophonie as the circular economy seems to have a high number of advantages in tackling climate change, creating a sustainable food chain, improving the organic character of the agriculture, etc. From that perspective Romania represents an interesting case study as it is both a European Union member state and a member of the Francophonie. It thus follows both sets of rules and recommendations in order to improve its status. The paper uses the bibliographic method and reviews the main documents that settle this aspect and presents the legal framework for circular economy. The put into practice of the circular economy in the Romanian agriculture would bring a series of advantages (environment, food safety, etc.) while also requiring systemic transformations. [ABSTRACT FROM AUTHOR]
- Published
- 2024
9. Green industrial policy and green development of agriculture—Quasi-natural experiment based on the Yangtze River Economic Belt in China.
- Author
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Shao, Jingbo
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SUSTAINABLE development ,ENVIRONMENTAL policy ,AGRICULTURAL development ,SUSTAINABLE agriculture ,INDUSTRIAL policy - Abstract
Based on the panel data of 30 provinces, municipalities, and autonomous regions in China from 2012 to 2022, from the perspective of harmony between man and nature, this paper selects 20 indicators to measure the level of agricultural green development from five dimensions such as ecological conservation and resource conservation by entropy weight method. On this basis, taking the implementation of green industrial policy in the Yangtze River Economic Belt as a quasi-natural experiment, the policy effect of green industrial policy on agricultural green development was analyzed by using the difference-in-difference method. The study found that: (1) the green development of agriculture is basically increasing year by year in each province, but there are some differences in the green development of agriculture among provinces; (2) Compared with the non-implementation areas of policies, the green development of agriculture in the implementation areas of policies has been significantly improved, and has passed a series of robustness tests; (3) The mechanism analysis shows that the green industrial policy has a crowding-out effect on industrial development, but significantly enhances the ecological construction and protection, thus promoting the green development of agriculture; (4) Heterogeneity analysis shows that the policy has a significant positive incentive effect on the upper and lower reaches of the Yangtze River Economic Belt, and the incentive effect on the middle reaches is not significant; (5) The impact of technological level on agricultural green development shows a positive U-shaped relationship. The improvement of education and information development levels also effectively promotes the green development of agriculture. This paper provides important empirical evidence and factual references for further promoting the green development of agriculture and the improvement of green industrial policies. [ABSTRACT FROM AUTHOR]
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- 2024
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10. The green transformation of agricultural production: evaluating the spatial role of agricultural industrial structure innovation in Guangdong, China.
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Weikun Zhang, Zheng Li, Wagan, Shoaib Ahmed, and Shiwei Tan
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INDUSTRIAL productivity ,AGRICULTURAL productivity ,AGRICULTURAL innovations ,SUSTAINABLE development ,AGRICULTURAL development ,REGIONAL differences - Abstract
Introduction: The primary function and spatial layout of agriculture are essential foundations and prerequisites for achieving green development. This paper explores the growth drivers for the green transformation of agricultural production in Guangdong, China, aiming to guide the continuous green and low-carbon development of agricultural productivity in Guangdong. Methods: Based on the panel data of 21 prefecture-level cities in Guangdong, China, from 2004 to 2022, this paper uses DEA-BCC and DEA-Malmquist to measure the agricultural green total factor productivity (AGTFP) and its decomposition efficiency in Guangdong China. The SDM is employed to analyze its spatial spillover roles of the agricultural industrial structure (AIS) innovation. Results: The results show that the AGTFP varies with an overall fluctuating upward trend, but the imbalance of regional differences still exists, characterized as "Pearl River Delta > Eastern Wing > Western Wing > Mountainous Area," indicating the siphoning role from Pearl River Delta. There is a strong spatial correlation between the AGTFP and the AIS. Discussion: Our evidence suggests that the AIS innovation improves the AGTFP and can have positive spatial consequences in neighboring areas. Besides, human capital hinders AGTFP, accounting for the self-exploitation in agricultural production driven by the excessive labor force input. Our findings highlight the spatial impact of the AIS innovation on the AGTFP when greening agricultural production. [ABSTRACT FROM AUTHOR]
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- 2024
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11. Second-Order Text Matching Algorithm for Agricultural Text.
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Sun, Xiaoyang, Song, Yunsheng, and Huang, Jianing
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LANGUAGE models ,AGRICULTURAL economics ,AGRICULTURAL development ,SUSTAINABLE agriculture ,AGRICULTURE - Abstract
Text matching promotes the research and application of deep understanding of text information, and it provides the basis for information retrieval, recommendation systems and natural language processing by exploring the similar structures in text data. Owning to the outstanding performance and automatically extract text features for the target, the methods based-pre-training models gradually become the mainstream. However, such models usually suffer from the disadvantages of slow retrieval speed and low running efficiency. On the other hand, previous text matching algorithms have mainly focused on horizontal domain research, and there are relatively few vertical domain algorithms for agricultural text, which need to be further investigated. To address this issue, a second-order text matching algorithm has been developed. This paper first obtains a large amount of text about typical agricultural crops and constructs a database by using web crawlers and querying relevant textbooks, etc. Then BM25 algorithm is used to generate a candidate set and BERT model is used to filter the optimal match based on the candidate set. Experiments have shown that the Precision@1 of this second-order algorithm can reach 88.34% on the dataset constructed in this paper, and the average time to match a piece of text is only 2.02 s. Compared with BERT model and BM25 algorithm, there is an increase of 8.81% and 13.73% in Precision@1 respectively. In terms of the average time required for matching a text, it is 55.2 s faster than BERT model and only 2 s slower than BM25 algorithm. It can improve the efficiency and accuracy of agricultural information retrieval, agricultural decision support, agricultural market analysis, etc., and promote the sustainable development of agriculture. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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12. Climate Change, Biased Technological Advances and Agricultural TFP: Empirical Evidence from China.
- Author
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Cao, Ying, Fan, Zhixiong, Chen, Weiqiang, Cao, Zhijian, and Jiang, Anyin
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CROPPING systems ,INDUSTRIAL productivity ,AGRICULTURE ,APPROPRIATE technology ,AGRICULTURAL development ,TECHNOLOGICAL progress - Abstract
The impact of climate change on agricultural quality development under the constraint of China's "Double Carbon" target has been widely discussed by policy practitioners and academic theorists. This paper attempts to deconstruct the logic of how climate change affects agricultural total factor productivity (TFP) in three dimensions—the structure of agricultural input factors, the change in the cropping system, and the stability of crop supply. This paper also reveals the mechanism through which biased technological progress increases agricultural TFP by weakening the magnitude of climate change and empirically tests it by using China's provincial-level data from 2000 to 2021. This study showed that average annual temperature and annual precipitation had significant negative effects on agricultural TFP, that the number of sunshine hours had a significant positive effect on agricultural TFP, and that obvious regional differences existed in the effect of climate change on agricultural TFP. Further mechanism tests revealed that biased technological progress positively moderated the effect of climate change on agricultural TFP. Based on these findings, the appropriate countermeasures for improving climate early warning mechanisms, promoting the progress of appropriate technology, and fostering new agricultural management bodies. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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13. Factors influencing savings among land reform beneficiaries in South Africa
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Antwi, Michael and Chagwiza, Clarietta
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- 2019
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14. FUNDING OPPORTUNITIES FOR SMART VILLAGE PROJECTS THROUGH THE LEADER INTERVENTION.
- Author
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CREINEANU, Luminita (SASU), PARNUS (RUSU), Alecsandra, and MARCUTA, Liviu
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RURAL development ,AGRICULTURAL development ,DIGITAL technology ,PUBLIC services ,SUSTAINABLE development - Abstract
Rural communities face problems related to depopulation, lack of jobs, weak digital infrastructure, decline of basic public services. LEADER is an initiative to support rural communities, which takes shape in a Local Development Strategy with a role in using local resources in a way that meets the needs identified in the territory. The support of projects for smart villages must be encouraged through local development strategies that pursue various fields: reducing the depopulation of villages, providing quality services, developing local services, promoting digitization. The paper proposes the role that the LEADER intervention belonging to the Strategic Plan, which is one of the instruments of the European Union, can contribute to supporting these rural development projects, which can represent local initiatives and which can benefit from funding sources that will contribute to the identification of strategies and future solutions to promote smart villages. The information used in the work was collected, processed and interpreted starting from data belonging to the Bureau for the Financing of Rural Investments, along with insights from the Ministry of Agriculture and Rural Development, converge in a rich tapestry of thought at the paper's conclusion. Here, they weave forward-thinking strategies for the cultivation of smart villages, which are envisioned as vibrant oases capable of elevating the quality of life for rural dwellers. These innovative settlements promise to champion the cause of sustainable rural development, casting a verdant future where community and sustainability flourish side by side. [ABSTRACT FROM AUTHOR]
- Published
- 2024
15. The Impact of Digital Economy on the High Quality Development of Agricultural Enterprises: Evidence From Listed Agricultural Enterprises in China.
- Author
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Lina Ma and Tianci Wang
- Subjects
AGRICULTURAL industries ,AGRICULTURAL development ,GREEN technology ,DIGITAL technology - Abstract
As the most active field in China's economic development, the digital economy is crucial to the high-quality development of enterprises. Taking Chinese-listed agricultural enterprises as research samples, this paper discusses the effect of the digital economy on promoting the high-quality development of agricultural enterprises and the mechanism behind it from the perspective of total factor productivity of enterprises. The study found that the digital economy significantly promoted the improvement of total factor productivity of agricultural enterprises and enabled the high-quality development of agricultural enterprises, and this conclusion remained valid after controlling for endogeneity and conducting robustness tests. In terms of action mechanisms, the digital economy is conducive to promoting green innovation and promoting the high-quality development of agricultural enterprises; However, entrepreneurial activity has a masking effect. Further analysis shows that the digital economy plays a more significant role in promoting non-resource-intensive agricultural enterprises located in northern China. At the same time, the higher the industrial structure and financial development level of the region, the more positive impact the digital economy can play. This study verifies the impact mechanism of the digital economy on the high-quality development of agricultural enterprises and provides enlightenment for China's the digital economy policy-making and enterprises' the high-quality development strategy decision-making. [ABSTRACT FROM AUTHOR]
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- 2024
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16. Fiscal agricultural expenditures' impact on sustainable agricultural economic development: Dynamic marginal effects and impact mechanism.
- Author
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Zhang, Shengfang and Zhang, Xiaodong
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SUSTAINABLE agriculture ,SUSTAINABLE development ,AGRICULTURE ,FIXED effects model ,AGRICULTURAL development ,FISCAL policy ,AGRICULTURAL forecasts - Abstract
Sustainable agricultural economic development is the core task for achieving the objective of rural revitalization strategy in China, which cannot be separated from the support and guidance of fiscal policy, and agricultural industry integration is a key path for the fiscal promotion of sustainable agricultural economic development. This paper systematically examines the interaction mechanism between fiscal agricultural expenditures and sustainable agricultural economic development by using 31 provincial panel data in China from 2008 to 2020 and adopting a two-way fixed effect model, a panel quantile model, and a mediating effect model, respectively. The results show that the impact of fiscal agricultural expenditures on sustainable agricultural economic development is significantly positive, and appears a dynamic increasing trend with the agricultural development stage upgrading. Moreover, heterogeneity analysis shows that the effect of fiscal agricultural expenditures is more obvious for the samples in the central region and with a high share of primary industry. Further, a mediating effect test finds that agricultural industry integration plays a mediating mechanism between fiscal agricultural expenditures and sustainable agricultural economic development. Therefore, this paper proposes constructing a long-term investment mechanism for fiscal agricultural expenditures, formulating differentiated fiscal support policies for agriculture, and prioritizing support for agricultural industry integration, which provides theoretical support and policy inspiration for promoting sustainable agricultural economic development. [ABSTRACT FROM AUTHOR]
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- 2024
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17. Maize Leaf Disease Recognition Based on Improved Convolutional Neural Network ShuffleNetV2.
- Author
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Zhou, Hanmi, Su, Yumin, Chen, Jiageng, Li, Jichen, Ma, Linshuang, Liu, Xingyi, Lu, Sibo, and Wu, Qi
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CONVOLUTIONAL neural networks ,ARTIFICIAL neural networks ,CORN diseases ,CORN ,PRECISION farming ,AGRICULTURAL development - Abstract
The occurrence of maize diseases is frequent but challenging to manage. Traditional identification methods have low accuracy and complex model structures with numerous parameters, making them difficult to implement on mobile devices. To address these challenges, this paper proposes a corn leaf disease recognition model SNMPF based on convolutional neural network ShuffleNetV2. In the down-sampling module of the ShuffleNet model, the max pooling layer replaces the deep convolutional layer to perform down-sampling. This improvement helps to extract key features from images, reduce the overfitting of the model, and improve the model's generalization ability. In addition, to enhance the model's ability to express features in complex backgrounds, the Sim AM attention mechanism was introduced. This mechanism enables the model to adaptively adjust focus and pay more attention to local discriminative features. The results on a maize disease image dataset demonstrate that the SNMPF model achieves a recognition accuracy of 98.40%, representing a 4.1 percentage point improvement over the original model, while its size is only 1.56 MB. Compared with existing convolutional neural network models such as EfficientNet, MobileViT, EfficientNetV2, RegNet, and DenseNet, this model offers higher accuracy and a more compact size. As a result, it can automatically detect and classify maize leaf diseases under natural field conditions, boasting high-precision recognition capabilities. Its accurate identification results provide scientific guidance for preventing corn leaf disease and promote the development of precision agriculture. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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18. Research on Intelligent Recognition for Plant Pests and Diseases Based on Improved YOLOv8 Model.
- Author
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Wang, Yuchun, Yi, Cancan, Huang, Tao, and Liu, Jun
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PLANT parasites ,PLANT diseases ,AGRICULTURAL development ,INSECT diseases ,RECOGNITION (Psychology) ,COMPUTATIONAL neuroscience - Abstract
Plant pests and diseases are important parts of insect disease control and the high-quality development of agriculture. Traditional methods for identifying plant diseases and pests suffer from low accuracy and slow speed, while the existing machine learning methods are constrained by environmental and technological factors, leading to low recognition efficiency. To address the issue of the above problems, this paper has proposed an intelligent recognition algorithm based on the improved YOLOv8 model, which has high recognition accuracy and speed. Firstly, in the Backbone network, the Global Attention Mechanism (GAM) is adopted to weigh the important feature information, thereby improving the accuracy of the model. Secondly, in the mixed feature part of the Neck network, the Receptive-Field Attention Convolutional (RFA Conv) operation is used instead of standard convolution operations to enhance the processing ability for feature information and to reduce computational complexity and costs, thus improving the network performance. After verifying the rice and cotton datasets, the accuracy indicator mean average precision (mAP) reaches 71.27% and 82.91%, respectively, in the two different datasets. Comparing these indices with those of the Faster R-CNN, YOLOv7, and the original YOLOv8 model, the results fully demonstrate the effectiveness and superiority of the improved model in terms of detection accuracy. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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19. Do Factor Misallocations Affect Food Security? Evidence from China.
- Author
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Jiang, Tuanbiao, Zhong, Min, Gao, Anrong, and Ma, Guoqun
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FOOD security ,FACTORS of production ,AGRICULTURAL development ,INFRASTRUCTURE (Economics) ,PANEL analysis - Abstract
The reasonable allocation of grain production factors is of vital importance to food security and agricultural development. To assess the impact of agricultural factor misallocation on food security, this paper, based on the panel data from China spanning from 2005 to 2019, conducted a comprehensive evaluation of agricultural factor misallocation and food security coefficients across 31 provinces in China, using a spatial Durbin model to examine the effects of factor misallocations on food security. The findings are as follows: (1) Production factor misallocation has significant negative impacts on food security, among them, capital misallocation and labor misallocation inhibiting food security in the local and neighboring areas, and land misallocation has a significant negative impact on food security in local areas, while its spatial spillover effect is no longer significant. (2) Mechanism analysis shows that capital misallocation and labor misallocation hinder the development of transportation infrastructure and the transfer of rural labor, thereby reducing food security. Land misallocation has accelerated the construction of transportation infrastructure, promoted the migration of rural labor, and helped ensure food security. (3) The regional heterogeneity test reveals that capital misallocation and labor misallocation hinder food security in major grain-producing areas and both sides of the Hu Huanyong Line (Hu Line). Meanwhile, land misallocation hinders food security development in various grain-producing areas, as well as the southeast of the Hu Line. Based on the above conclusions, this paper proposes suggestions to improve the efficiency of land and labor resource allocation, accelerate the construction of transportation infrastructure, and encourage the transfer speed of surplus agricultural labor. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
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20. Spatial Analysis of Intercity Migration Patterns of China's Rural Population: Based on the Network Perspective.
- Author
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Zhou, Yihu, Chen, Huiguang, and Fang, Tingting
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RURAL population ,CITIES & towns ,AGRICULTURAL development ,SOCIAL facts ,INTERNAL migration ,DEVELOPING countries - Abstract
Since entering the 21st century, many developing countries around the world have begun to enter a stage of rapid urbanization; large-scale "rural-urban" population migration has become a typical social phenomenon in these countries. Against this backdrop, this paper aims to elucidate the spatial migration characteristics of rural populations and to discuss future rural–urban development strategies. For this purpose, this paper takes China as a case and employs methods such as spatial autocorrelation analysis, hotspot analysis, and network analysis to construct an intercity migration network of rural migrants and analyze its spatial characteristics and internal structure. The results indicate that the migration pattern of the rural population exhibits notable spatial clustering features. Cities in the eastern and central regions are, respectively, hotspots for the inflow and outflow of rural populations, with internal migration dominating in western cities and relatively inactive rural population movements in northeastern cities. Municipalities directly under the central government, sub-provincial cities, and provincial capitals show a significant tendency to attract rural populations, while prefecture-level and county-level cities mainly radiate rural populations outward. Cities nationwide form seven major clusters in the migration network, and these clusters exhibit distinct structural characteristics. Rural population migration is influenced by various factors. In the future, considerations should focus on the county as the primary unit, attracting rural populations for local employment, and promoting rural revitalization and agriculture development. The findings of this paper are of reference significance not only to China but also to many developing countries with similar national conditions in the world. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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21. An experimental study of acoustic bird repellents for reducing bird encroachment in pear orchards.
- Author
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Qing Chen, Jingjing Xie, Qiang Yu, Can Liu, Wenqin Ding, Xiaogang Li, and Hongping Zhou
- Subjects
ARTIFICIAL neural networks ,AGRICULTURAL economics ,PEST control ,AGRICULTURAL development ,CROP yields ,DEEP learning ,COMPUTER vision - Abstract
Bird invasion will reduce the yield of high-value crops, which threatens the healthy development of agricultural economy. Sonic bird repellent has the advantages of large range, no time and geographical restrictions, and low cost, which has attracted people's attention in the field of agriculture. At present, there are few studies on the application of sonic bird repellents in pear orchards to minimize economic losses and prolong the adaptive capacity of birds. In this paper, a sound wave bird repellent system based on computer vision is designed, which combines deep learning target recognition technology to accurately identify birds and drive them away. The neural network model that can recognize birds is first trained and deployed to the server. Live video is captured by an installed webcam, and the sonic bird repellent is powered by an ESP-8266 relay switch. In a pear orchard, two experimental areas were divided into two experimental areas to test the designed sonic bird repellent device, and the number of bad fruits pecked by birds was used as an indicator to evaluate the bird repelling effect. The results showed that the pear pecked fruit rate was 6.03% in the pear orchard area that used the acoustic bird repeller based on computer recognition, 7.29% in the pear orchard area of the control group that used the acoustic bird repeller with continuous operation, and 13.07% in the pear orchard area that did not use any bird repellent device. While acoustic bird repellers based on computer vision can be more effective at repelling birds, they can be used in combination with methods such as fruit bags to reduce the economic damage caused by birds. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
22. Sustainable market? The impact of downstream market concentration on high-quality agricultural development: evidence from China's dairy industry.
- Author
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Zetian Yu, Guang Feng, Hao Liu, Hua Peng, and Xiaoxia Dong
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AGRICULTURAL economics ,INDUSTRIAL productivity ,INDUSTRIAL concentration ,FARM produce ,AGRICULTURAL development - Abstract
The downstream concentration of agricultural products markets under the asymmetric competition pattern of the supply chain has a profound impact on upstream agricultural production. Is this centralized market structure sustainable and efficient? The study examines the effects and mechanisms of agricultural product downstream concentration on the high-quality development of agriculture using the dairy industry as an example. Panel data from 10 provinces in China from 2004 to 2021 were selected for analysis. Using Malmquist index, fixed effects model and other methods, the research results prove that: (1) Downstream dairy market concentration is unfavorable to upstream raw milk total factor productivity growth. However, there is scale heterogeneity in this negative effect, with a positive impact for small-scale farming and a negative impact on medium-scale and large-scale farming. (2) Downstream market concentration drives upstream raw milk total factor productivity growth through technical efficiency improvements and market demand expansion, but it also inhibits raw milk total factor productivity growth through mechanisms that squeeze production margins and impede technological progress. Negative mechanisms are the main effect. (3) Higher wages, higher raw milk prices and an improved ratio of concentrate to crude are all helping to mitigate the negative effects of downstream concentration to some extent, but net profit retention and a high proportion of fixed assets will further exacerbate the negative effects. To better address the challenges brought by the trend of downstream market concentration and promote high-quality agricultural development, this paper proposes three suggestions: enhancing the market position of dairy farmers, regulating monopolistic behavior of oligopolies, and building a mechanism for linking interests. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
23. Facilitating the high-quality agricultural development with digital economy: a panel data study of Jiangsu Province from 2013 to 2021.
- Author
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Xiaoxu Ma and Lianzhou Lv
- Subjects
AGRICULTURAL development ,HIGH technology industries ,PANEL analysis ,FIXED effects model ,AGRICULTURAL modernization ,MEMETICS - Abstract
Agricultural modernization can only be attained through the high-quality development of agriculture, which is made possible by the deep integration of the digital economy with traditional agriculture. From the perspective of the entire agricultural industry chain, this paper offers a theoretical and empirical examination of the digital economy's role in enabling high-quality agricultural development. The fixed effects model, convergence test, threshold model, and spatial error model were implemented based on the panel data of 13 cities in Jiangsu Province from 2013 to 2021 to validate the role of the digital economy in enabling high-quality agricultural development. The findings indicated that first, for every 1% increased in the level of digital economy development, the level of high-quality agricultural development increased by approximately 0.183%. Second, the high-quality development of agriculture had the characteristics of absolute convergence and conditional convergence, and there was a non-linear character in the role of the digital economy in the high-quality agricultural development. Third, for every 1% increase in the development level of digital inclusive finance, the level of high-quality agricultural development in surrounding areas with similar economic levels will be improved by about 0.188%.In this regard, Jiangsu Province should grasp the opportunity of the era of digital economic development, continue to strengthen the construction of digital economic development in backward areas, and attach great importance to inter-regional exchanges and cooperation in the construction of digital agriculture. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
24. Green Development of Chinese Agriculture from the Perspective of Bidirectional Correlation.
- Author
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Yu, Jinkuan, Sun, Yao, and Wei, Feng
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SUSTAINABLE development ,AGRICULTURAL development ,SUSTAINABLE agriculture ,SOCIAL network analysis ,AGRICULTURE - Abstract
China's agricultural green development exhibits spatial imbalances. To promote the coordinated green development of agriculture across various regions, this paper explores the evolution of spatial association networks and driving factors of agricultural green development from a bidirectional correlation perspective, using social network analysis and spatial econometric methods. This research indicates that China's agricultural green efficiency has steadily improved, with a complex multi-threaded network structure. Although the spatial interaction and spillover effects of the overall network structure have increased, they remain relatively weak. The individual network structure shows significant regional imbalances. The spatial association network of agricultural green efficiency forms four major blocks, with sparse connections within the blocks but close connections between blocks, demonstrating strong spillover effects. Regarding the driving factors, the proportion of the primary industry, labor level, and R&D investment have significant spatial impacts, while the spatial impacts of human capital level, degree of openness, economic development level, and new quality productivity level are not significant. Therefore, we believe that it is necessary to establish the concept of coordinated green development in agriculture, fully leverage regional associations and spillover effects, and formulate differentiated policies to improve agricultural green efficiency. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
25. Re-measurement of agricultural carbon emission rates: Drivers, regional differences and dynamic evolution.
- Author
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Guo, Yan and Chen, Min
- Subjects
AGRICULTURAL pollution ,CARBON emissions ,REGIONAL development ,TECHNOLOGICAL innovations ,AGRICULTURAL development ,TECHNOLOGICAL progress - Abstract
This research paper introduces a novel approach by combining a Backpropagation (BP) neural network with a non-angular and non-radial directional distance function to construct a BPNN-DDF model. This innovative model evaluates, decomposes, and analyzes China's agricultural sector's carbon emission rate across nine key subregions between 2010 and 2021. The key findings of this study are that China's agricultural carbon emission rate is decreasing, primarily due to technological advancements rather than technological efficiency. Subregions with robust economies and stable climates exhibit higher carbon emission efficiency, whereas those with underdeveloped economies, low agricultural technology, and volatile climates show relatively lower efficiency. The Dagum Gini coefficient analysis reveals a widening disparity in carbon emission rates among agricultural subregions, escalating from 0.174 in 2010 to 0.425 in 2021, indicating a growing gap between subregions that demands immediate attention. The kernel density distribution demonstrates an overall upward trend in China's carbon emission efficiency but also highlights an increasing divergence among subregions, particularly between the South China Area, the Huang-Huai-Hai Plain, and other regions. Therefore, this paper posits that strategies focusing on technological progress, sustainable agricultural development, regional development initiatives, and addressing inter-subregional imbalances will be crucial pathways for China's future low-carbon agricultural development. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
26. Research Progress on the Physiological Mechanism by Which Selenium Alleviates Heavy Metal Stress in Plants: A Review.
- Author
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Yuan, Zhigang, Cai, Shiqi, Yan, Chang, Rao, Shen, Cheng, Shuiyuan, Xu, Feng, and Liu, Xiaomeng
- Subjects
HEAVY metal toxicology ,EMISSIONS (Air pollution) ,AGRICULTURAL development ,HEAVY metals ,LEAD - Abstract
Human activities, such as mining, industrialization, industrial waste emissions, and agricultural practices, have caused heavy metals to become widespread and excessively accumulated in soil. The high concentrations of heavy metals in soil can be toxic to plants, severely affecting crop yield and quality. Moreover, these heavy metals can also enter the food chain, affecting animals and humans and leading to various serious illnesses. Selenium (Se) is not only an essential element for animals and humans but is also beneficial for plants, as it promotes their ability to respond actively to biotic and abiotic stresses. The global issue of Se deficiency in diets has made plants the primary source for human Se supplementation. This paper comprehensively reviews the effects of heavy metal stress on plant growth and development, physiological responses of plants to such stress, and the intracellular transport processes of heavy metals within plants. It particularly focuses on the mechanisms by which Se alleviates heavy metal stress in plants. Additionally, the study delves into how Se significantly enhances plant tolerance mechanisms against typical heavy metals, such as cadmium (Cd), lead (Pb), and mercury (Hg). This integrative research not only expands the boundaries of research in the field of plant heavy metal stress and Se application but also provides new perspectives and solutions for understanding and addressing complex environmental heavy metal pollution issues. By integrating these aspects, this paper not only fills existing gaps in the literature but also offers comprehensive scientific basis and strategic recommendations for environmental protection and sustainable agriculture development. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
27. Global Path Planning for Articulated Steering Tractor Based on Multi-Objective Hybrid Algorithm.
- Author
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Xu, Ning, Li, Zhihe, Guo, Na, Wang, Te, Li, Aijuan, and Song, Yumin
- Subjects
SEARCH algorithms ,GENETIC algorithms ,CUBIC curves ,SAFETY factor in engineering ,AGRICULTURAL development ,DIFFERENTIAL evolution - Abstract
With the development of smart agriculture, autopilot technology is being used more and more widely in agriculture. Because most of the current global path planning only considers the shortest path, it is difficult to meet the articulated steering tractor operation needs in the orchard environment and address other issues, so this paper proposes a hybrid algorithm of an improved bidirectional search A* algorithm and improved differential evolution genetic algorithm(AGADE). First, the integrated priority function and search method of the traditional A* algorithm are improved by adding weight influence to the integrated priority, and the search method is changed to a bidirectional search. Second, the genetic algorithm fitness function and search strategy are improved; the fitness function is set as the path tree row center offset factor; the smoothing factor and safety coefficient are set; and the search strategy adopts differential evolution for cross mutation. Finally, the shortest path obtained by the improved bidirectional search A* algorithm is used as the initial population of an improved differential evolution genetic algorithm, optimized iteratively, and the optimal path is obtained by adding kinematic constraints through a cubic B-spline curve smoothing path. The convergence of the AGADE hybrid algorithm and GA algorithm on four different maps, path length, and trajectory curve are compared and analyzed through simulation tests. The convergence speed of the AGADE hybrid algorithm on four different complexity maps is improved by 92.8%, 64.5%, 50.0%, and 71.2% respectively. The path length is slightly increased compared with the GA algorithm, but the path trajectory curve is located in the center of the tree row, with fewer turns, and it meets the articulated steering tractor operation needs in the orchard environment, proving that the improved hybrid algorithm is effective. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
28. A Study of the Income Effect of Continuous Adoption of Rice–Crayfish Co-Culture Technology: Based on the Moderating Effect of Non-Farm Employment.
- Author
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Tian, Zhuoya, Wang, Xicong, Lei, Zekui, Qi, Zhenhong, and Liu, Zhe
- Subjects
SUSTAINABLE agriculture ,AGRICULTURAL development ,SUSTAINABLE development ,TREATMENT effectiveness ,EMPLOYMENT ,AGRICULTURAL technology ,CRAYFISH - Abstract
The income effect of rice–crayfish co-culture technology (RCT) is directly related to rate of adoption of farmers and the process of China's green development of agriculture. The aim of this study is to explore the income effect and income growth mechanism of rice–crayfish co-culture technology from the perspective of continuous adoption. With the treatment effect model (TEM), this paper empirically analyzes the income effect and income-generating mechanisms of RCT using field survey data from 736 farmers in the Jianghan Plain. As a result of this study, it was discovered that RCT will increase farmers' net agricultural income by RMB 83,430 if they continue to adopt it. Further examinations indicate that the optimal adoption period for RCT is four and a half years. Additionally, it has also been shown that non-farm employment positively moderates the relationship between continuous adoption of RCT and net agricultural income. Farmers who participate in non-farm employment and continue to adopt the RCT will experience an increase in net agricultural income by RMB 104,510. Therefore, our results suggest that it is necessary to encourage farmers to continuously adopt RCT and actively participate in non-farm employment to enhance the income effect of RCT. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
29. Does county financial marketization promote high-quality development of agricultural economy?: Analysis of the mechanism of county urbanization.
- Author
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Liu, Yang, Cui, JunFu, Feng, Liang, and Yan, Hua
- Subjects
AGRICULTURAL economics ,AGRICULTURAL development ,ECONOMIC conditions in China ,AGRICULTURAL technology ,RURAL-urban relations ,AGRICULTURAL credit - Abstract
China's agricultural economy has been hindered by insufficient accumulation of agricultural capital and credit constraints. It is worth investigating whether China's county financial marketization reform policy can alleviate these constraints and promote high-quality development of the agricultural economy (HQDAE). This paper presents an empirical analysis of the impact of county financial marketization reform on the HQDAE, based on county panel data. The focus is on the mechanism of county urbanization in the above relationship. The results show that county financial marketization has a significant non-linear impact on the HQDAE. Specifically, it has a 'U-shaped' impact on the overall growth of the agricultural economy and an inverted 'N-shaped' impact on the quality improvement of the agricultural economy. Secondly, the relationship between county financial marketization and the HQDAE is influenced by a threshold effect based on the level of county urbanization. As the level of county urbanization increases, the promoting effect of county financial marketization on HQDAE also increases significantly. Additionally, county financial marketization helps to promote county urbanization and accelerate urban-rural integration, which in turn leads to HQDAE. The research in this paper suggests that county-level local governments should promote a differentiated county financial system. In the early stages of financial market-oriented reform, the government should enhance the capacity of financial services in rural areas through tax breaks, policy incentives, and other measures to prevent financial leakage from agriculture. In the later stages of financial marketization reform, the government should strengthen financial supervision to prevent financial resources from being diverted from industry to capital. Moreover, to achieve the HQDAE, it is necessary to promote county financial market-oriented reform and accelerate the construction of county urbanization. This will help break the dual economic structure of urban and rural areas and promote the flow of financial capital, technology, and human capital from county cities to rural areas. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
30. Deployment of Drones for Sustainable Development in Indian Agriculture.
- Author
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Sehra, Neha, Singh, Rajbeer, and Chamuah, Anjan
- Subjects
SUSTAINABLE agriculture ,SUSTAINABILITY ,ENVIRONMENTAL health ,AGRICULTURAL development ,SNOWBALL sampling - Abstract
Integrating drones in Indian agriculture presents a transformative potential, ushering in a new era of sustainable farming practices. In India, various incidents tell a story of how pesticides, seeds, and many more applications, once deemed a boon for agricultural progress, have gradually unfolded into a complex web of ecological and health challenges. Presently, the case of drones for spraying purposes in agriculture brings forth compiling advantages. These include enhanced precision in results, alleviation of the diverse adverse effects linked with manual spraying methods, operational feasibility in inclement weather conditions, utility in cultivating tall-standing crops and addressing the complexities of manual spraying for crops such as paddy and sugarcane. This paper explores the role of drones in promoting spraying applications in Indian agriculture. The study addresses two research questions: how can the utilisation of drones for spraying applications contribute to the sustainability of Indian agriculture, and how can drone-assisted spraying applications contribute to achieving the Sustainable Development Goals (SDGs) in Indian agriculture? To accomplish this, a responsible innovation approach is adopted as a theoretical framework to explore the dimensions of innovations in drone mounted spraying in Indian agriculture, juxtaposed by erratic weather conditions and knitted by diverse values and norms. The snowball sampling technique was employed to identify the interviewees and collect qualitative data. For this, in-depth interviews were conducted in person or by using Zoom. The findings suggest that efficiency, capability, effectiveness, gender equality, trust, and accuracy are certain values embedded in drone technology that assist in achieving the SDGs in Indian agriculture. [ABSTRACT FROM AUTHOR]
- Published
- 2024
31. Kenya country paper Wetland classification for agricultural development in Eastern and Southern Africa
- Author
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Mailu, G.M. and Kiai, S.P.M.
- Subjects
Wetlands ,Agricultural development - Abstract
Kenya has a growing population projected to increase to 34 million people by the turn of the century. Though the country is undergoing industrial transformation, agriculture remains the mainstay of the economy. The country has an area of about 587 900 km2 of which 576 000 km2 is land surface. 88% of the land surface is classified as arid and semi-arid lands (ASALs) and the remaining 12% forms the medium and high agricultural potential land. This classification is based mainly on the moisture index as indicated by average annual rainfall and evapotranspiration. The Great Rift Valley running north/south influences and determines the drainage pattern so that from the flanks of the Rift Valley, water flows westwards to Lake Victoria and eastwards to the Indian Ocean. The Rift Valley itself forms an internal drainage system. In this case therefore, Kenya consists of five major basins: Lake Victoria, Rift Valley, Athi River, Tana River and Ewaso Ngiro basins (Figure 1). However, only two of these basins can be rated to have surplus water resources: Lake Victoria and Tana River. The other three basins have water deficits and often rely on inter-basin water transfers to meet their basic water needs. Unpublished
- Published
- 1995
32. A principal component analysis of the determinants of spatial disparity between rural and urban localities of Ghana
- Author
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Drafor, Ivy
- Published
- 2017
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- View/download PDF
33. NEXUS BETWEEN INVESTMENT AND AGRICULTURAL GROWTH IN THE DEMOCRATIC REPUBLIC OF CONGO: COINTEGRATION, SHORT-RUN DYNAMICS AND CAUSALITY.
- Author
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Lusungu, Luka and Chisasa, Joseph
- Subjects
INVESTMENTS ,AGRICULTURAL development ,HOUSEHOLDS ,LABOR supply ,COINTEGRATION - Abstract
This paper aims to assess the impact of agricultural investment on agricultural output in the Democratic Republic of Congo using secondary data for the period 1980 to 2019. Using the Johansen and Jusseleus cointegration test, agricultural investment and agricultural output were observed to have a statistically significant long-run relationship. Additionally, the error correction model (ECM) shows that the short-run coefficient of agricultural investment has a statistically significant positive impact on agricultural output, implying that investment (machine, infrastructure etc.) does spur agricultural output in the Democratic Republic of Congo. The results show the presence of unidirectional causality between agricultural output toward agricultural investment. It was also observed that unidirectional causality from labour force to agricultural investment, labour force to education and agricultural investment to land use and a bi-directional causality between land use and labour force exists. The paper concludes that an increase in investment in the agricultural sector will result in agricultural output in the Democratic Republic of Congo. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
34. The Impact of Agricultural Factor Inputs, Cooperative-Driven on Grain Production Costs.
- Author
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Zhang, Han and Wu, Dongli
- Subjects
INDUSTRIAL costs ,AGRICULTURE ,AGRICULTURAL development ,AGRICULTURAL productivity ,FOOD security ,GRAIN - Abstract
The problem of high grain production costs, which is not conducive to sustainable agricultural development and food security, is highlighted in the context of China's "large country and small household farmers". Reducing the grain production costs through factor allocation and organizational drive has become particularly important. Based on 768-grain peasant households in China, this paper uses OLS regression and robust regression to examine the effects of agricultural factor inputs and cooperatives on grain production costs. It analyzes the synergistic and substitution effects between farmers' factor inputs and cooperatives in grain production. It was found that: (1) in farmers' grain production, reductions in the grain production costs can be realized by expanding the area under cultivation, improving the use of agricultural machinery, and increasing technological inputs; (2) a reduction in the grain production costs can also be realized through cooperatives driving farmers into grain production; (3) cooperatives can provide farmers with various types of agricultural production services in grain production and cooperative-driven substitution effects between the agricultural factor inputs of farm households. The findings of this paper contribute to the enrichment of research in the field of agricultural production and are important for enhancing agricultural sustainability and reducing grain production costs. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
35. Digital agricultural technology services and farmers' willingness to choose digital production technology in Sichuan province, China.
- Author
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Wei Gong, Ruiyao Ma, and Haixia Zhang
- Subjects
AGRICULTURAL technology ,DIGITAL literacy ,PLANNED behavior theory ,AGRICULTURAL development ,DIGITAL technology - Abstract
Introduction: Digital agricultural technology service has the characteristics of high efficiency, convenience and flexibility, and plays an important role in the process of Chinese agricultural digitalization, which is of great significance for realizing the modernization and intelligent development of agricultural production. Methods: Based on micro-survey data of small-scale farmers in Sichuan Province, this study utilizes the OLS method and the mediation effect model to investigate the impact of digital agricultural technology services on farmers' willingness to adopt digital production technologies and its underlying mechanisms. Results: The results indicate that digital agricultural technology services effectively enhance farmers' willingness to adopt digital production technologies, especially among those engaged in cooperative. Further analysis of mechanisms suggests that digital agricultural technology services influence farmers' choices of household production and management methods by expanding their information channels, enhancing their cognition of digital production technologies, and facilitating access to technology. Moreover, heterogeneous analysis reveals significant differences in the willingness of farmers with varying levels of digital literacy to adopt digital production technologies. Digital agricultural technology services have a more pronounced impact on the willingness of highly digitally literate farmers. Discussion: The findings of this paper deepen our comprehension of the operational mechanisms of digital agricultural technology services in the context of agricultural development, and advocate for policy recommendations such as enhancing the supply of digital agricultural technology services, strengthening the role of new agricultural entities, improving farmers' digital literacy training, and enhancing policy support systems. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
36. Influence of Natural Risks and Non-Agricultural Income on Agricultural Trusteeship Decisions in Northeast China.
- Author
-
Xue, Ying and Liu, Hongbin
- Subjects
AGRICULTURE ,PROPENSITY score matching ,AGRICULTURAL insurance ,AGRICULTURAL development ,JOB vacancies - Abstract
As the main service mode and management mode of socialized service, agricultural production trusteeship services (APTS) are an important way to realize the tight link between farmers and modern agricultural development, which is highly important for ensuring national food security. By constructing a utility model of farmers, this paper deduces the decision-making mechanism of farmers' APTS from the dual mechanism of natural risk and non-agricultural employment income (NAEI) and uses the survey data of 956 farmers in the three northeastern provinces to verify the empirical results by using multivariate logit (Mlogit) and propensity score matching (PSM) methods. The research shows that natural risk hinders farmers' choice of the APTS; NAEI has a positive impact on APST, and an increase in NAEI weakens the negative effect of natural risk on the choice of the APTS, and has an enhanced moderating effect. In addition, the scale heterogeneity analysis revealed that the impacts of natural risk and NAEI on farmers of different scales are significantly different. The NAEI adjustment effect has the greatest impact on small-scale farmers, followed by medium-scale farmers. In view of this, the government should stabilize the nonagricultural employment market and improve the nonagricultural employment opportunities of farmers. APTS organizations should transfer natural risks and improve the agricultural insurance system. According to the differences of different scales of farmers, different promotion policies are formulated, and the expansion of management and deepening services is proposed to further promote the development of APTS and consolidate the foundation of food security in China. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
37. Do green finance and digital technology matter for sustainable agricultural development? Insights from sub-Saharan Africa.
- Author
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Addai, Kwaku, Yufenyuy, Mohamed, and Kifem, Frankline Lifolav
- Subjects
GREEN technology ,DIGITAL technology ,SUSTAINABILITY - Abstract
Sustainable agricultural progress is one of the world's greatest challenges in the twenty-first century as the global population is estimated to rise to over nine billion by 2050. Over the years, the Food and Agricultural Organization (FAO) and the African Union (AU) have sought prosperous African Policies based on sustainable agriculture and inclusive growth. Additionally, the AU has adopted the Comprehensive African Agricultural Development Programme (CAADP) policy framework. Given the growing need for innovative policies and studies to reduce the negative environmental effects of agricultural development in Africa, this paper investigates the significance of green finance and digital technologies on green agricultural growth in sub-Saharan Africa (SSA) from 2003 to 2018. Analysis of panel co-integration estimates indicates all variables are integrated. Using the panel-corrected standard errors estimator for long-run equilibrium co-integration assessment, the outcomes indicate mitigated green finance (MGF), internet and mobile phone use (IMU), as well as sustainable energy utilization (RE), individually and collectively exert a positive effect on agriculture, forestry and fishing value added (AVA). Additionally, panel causality estimates indicate (i) a bi-directional causality between MGF and AVA. (ii) A uni-directional causality running from IMU towards AVA without any rebound effect. For policy insights, the AU could urge member states to implement macro-policies to increase agricultural green credit to sustain food production and employment generation. Similarly, the FAO and AU could provide technical support in digital agricultural research and value chains towards ensuring sustainable agriculture development in SSA. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
38. Evaluation, mechanism and policy implications of the symbiotic relationship among rural digitization, agricultural development and farmer enrichment: evidence from digital village pilots in China.
- Author
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Min Lai, Weiwei Li, Zhenyu Gao, and Zhipeng Xing
- Subjects
AGRICULTURAL development ,AGRICULTURAL technology ,DIGITIZATION ,ELECTRONIC evidence ,INCOME inequality ,INCOME gap ,RURAL poor ,CITY dwellers - Abstract
Digitization is becoming the key to achieving rural revitalization, and there is a complex inter-active relationship with farmer enrichment, and agriculture development, making it highly valued by governments around the world. Quantitatively evaluating the symbiotic relationship between rural digitization, farmer enrichment, and agricultural development, and reveal the driving mechanism behind them, which can provide evidence for the rural government, agricultural enterprises, and relevant stakeholders. This paper conducts an empirical study of 84 digital village national pilots in China based on coupling coordination model and geographically weighted regression, with focus on the spatial characteristics, symbiotic relationship and driving mechanisms of the pilots. The symbiotic relationship between rural digitization, farmer enrichment, and agriculture development has significant heterogeneity, with most of the pilots in coordination state. The driving mechanism of rural digitization, farmer enrichment, agriculture development, and symbiotic relationship were complicated, with significant heterogeneity and synergy in the driving forces of different factors, and special attention should be paid to spatial effects (the nature and intensity of regression coefficients in local regions) in the policy design and implementation. It is worth noting that population aging mainly plays a negative role, while industrialization, government support, resident capacity plays a positive role. The other factors play both positive and negative roles. Income gap between urban and rural residents, population aged 65 and above, financial self-sufficiency are the most critical factors. We suggest developing differentiated management policy, accurate management policy, and integrated management policy, which can provide a basis for digital village and smart village planning, construction and management in China. In view of the significant differences in rural digitalization and its driving mechanisms in different pilots as shown in the study, it is necessary to design differentiated spatial policies according to local conditions, to design accurate management policies based on the driving effects of key single factors, and to design integrated development policies by taking into account the interactive effects of multiple factors. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
39. Making Decisions on the Development of County-Level Agricultural Industries through Comprehensive Evaluation of Environmental and Economic Benefits of Agricultural Products: A Case Study of Hancheng City.
- Author
-
Lu, Chen, Wang, Huaizhou, Li, Xue, and Zhu, Zhiyuan
- Subjects
FARM produce ,AGRICULTURAL development ,AGRICULTURAL technology ,AGRICULTURAL industries ,SUSTAINABLE development ,SOYBEAN farming - Abstract
This study aims to provide a scientific basis for the development of county-level agricultural industries through a comprehensive evaluation of the environmental and economic benefits of agricultural products. Focusing on Hancheng City in Shaanxi Province, this paper calculates and analyzes the carbon emission intensity per unit output value and the economic benefits of major agricultural products, assessing their comprehensive advantage indices. The research methods include data collection, data processing, and model construction, utilizing a bi-factor matrix analysis to explore the balance between environmental sustainability and economic profitability of different agricultural products. The results indicate that pepper and vegetables have the highest comprehensive advantages, demonstrating significant economic and environmental benefits, while soybeans show lower comprehensive advantages, requiring improvements in cultivation techniques and management practices. Based on the research findings, this paper proposes policy and management recommendations for different agricultural products, including focusing on the development of high-comprehensive-advantage products, improving cultivation techniques for low-comprehensive-advantage products, promoting green agricultural technologies, establishing a carbon footprint monitoring system for agricultural products, and strengthening agricultural infrastructure construction. The study's conclusions provide theoretical support and practical guidance for the agricultural development strategies of Hancheng City and similar regions, contributing to the achievement of sustainable agricultural development and carbon reduction goals. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
40. The Impact of Income Disparity on Food Consumption—Microdata from Rural China.
- Author
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Li, Jing, Chen, Kelin, Yan, Chao, and Tang, Zhong
- Subjects
FOOD consumption ,INCOME inequality ,INCOME ,PANEL analysis ,AGRICULTURAL development ,CONSUMPTION (Economics) - Abstract
This paper examines the relationship between income inequality and consumption, utilizing panel data from rural China over a span of four years to validate the application of relative income theory in the domain of food consumption. Food consumption represents a significant portion of expenditures for the low-income demographic and is of vital importance to China's food security and agricultural development. To ascertain the impact of income inequality on food consumption, this paper employs a bi-directional fixed-effects model, a mediation effect model, and machine learning causal analysis methods. Utilizing four years of rural resident survey data from the China Health and Nutrition Survey database, the study empirically tests the effect of income inequality on various types of food consumption, the channels through which it operates, and the heterogeneity among different income groups and educational backgrounds. The findings indicate that (1) income inequality within rural communities positively influences food consumption, and this conclusion remains robust under endogeneity treatment and robustness checks, positively affecting the transformation of food consumption and healthy intake; (2) income inequality among rural residents promotes food consumption through two mediating channels: the "demonstration effect" and the "ratchet effect;" (3) the impact of income inequality on food consumption exhibits heterogeneity among rural residents of different income levels and educational backgrounds. [ABSTRACT FROM AUTHOR]
- Published
- 2024
- Full Text
- View/download PDF
41. THE IMPACT OF CLIMATE CHANGES ON THE DEVELOPMENT OF AGRICULTURE AND FOOD SECURITY (CASE OF UKRAINE AND SLOVAKIA).
- Author
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PARKHOMENKO, Nataliia, VILČEKOVÁ, Lucia, and ŠTARCHOŇ, Peter
- Subjects
AGRICULTURAL development ,FOOD security ,FARM produce exports & imports ,FARM produce ,AGRICULTURAL productivity ,CLIMATE change - Abstract
The purpose of the paper was to assess the impact of climate changes on agricultural development and food security in Ukraine and Slovakia using statistical data from Statistical Office of the Slovak Republic, State Statistics Service of Ukraine, Eurostat, Food and Agriculture Organization and other sources. The comparison method was used to evaluate changes in agricultural development indicators, as well as climate changes in 1998-2021 in Ukraine and Slovakia. The main indicators of agricultural development used in the research were agricultural raw materials exports(%), agricultural raw materials imports (%), agriculture value added (% of GDP), agriculture value added (annual % growth), agriculture value added (current US$), cereal production (metric tons), cereal yield (kg per hectare), crop production index, food production index. Correlation and regression equations were used to establish the relationship between climatic factors and agricultural development indicators. The multiple correlations between air temperature and indicators of agricultural development was r=0.75 for Ukraine, r=0.69 for Slovakia. Using neuromodeling tools, the indicators of cereal production volumes and cereals yields in Ukraine and Slovakia in 2024-2033 were predicted. Tables were used to summarize the results. In conclusion, it should be noted that climatic conditions should be analyzed in each sector of crop production, and measures should be taken to adapt technologies for the gradual expansion of obligations for the production and export of agricultural products to world markets. [ABSTRACT FROM AUTHOR]
- Published
- 2024
42. Science Mapping of Meta-Analysis in Agricultural Science.
- Author
-
Ding, Weiting, Li, Jialu, Ma, Heyang, Wu, Yeru, and He, Hailong
- Subjects
AGRICULTURAL mapping ,AGRICULTURAL development ,AGRICULTURAL research ,AGRICULTURE ,CROP yields ,AGRICULTURAL technology - Abstract
As a powerful statistical method, meta-analysis has been applied increasingly in agricultural science with remarkable progress. However, meta-analysis research reports in the agricultural discipline still need to be systematically combed. Scientometrics is often used to quantitatively analyze research on certain themes. In this study, the literature from a 30-year period (1992–2021) was retrieved based on the Web of Science database, and a quantitative analysis was performed using the VOSviewer and CiteSpace visual analysis software packages. The objective of this study was to investigate the current application of meta-analysis in agricultural sciences, the latest research hotspots, and trends, and to identify influential authors, research institutions, countries, articles, and journal sources. Over the past 30 years, the volume of the meta-analysis literature in agriculture has increased rapidly. We identified the top three authors (Sauvant D, Kebreab E, and Huhtanen P), the top three contributing organizations (Chinese Academy of Sciences, National Institute for Agricultural Research, and Northwest A&F University), and top three productive countries (the USA, China, and France). Keyword cluster analysis shows that the meta-analysis research in agricultural sciences falls into four categories: climate change, crop yield, soil, and animal husbandry. Jeffrey (2011) is the most influential and cited research paper, with the highest utilization rate for the Journal of Dairy Science. This paper objectively evaluates the development of meta-analysis in the agricultural sciences using bibliometrics analysis, grasps the development frontier of agricultural research, and provides insights into the future of related research in the agricultural sciences. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
43. Lessons Learned? Development Experiences in the Late Colonial Period
- Author
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van Beusekom, Monica M. and Hodgson, Dorothy L.
- Published
- 2000
44. Digital Economy, Agricultural Technology Innovation, and Agricultural Green Total Factor Productivity.
- Author
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Yi-feng Zhang, Min-xuan Ji, and Xiu-zhi Zheng
- Subjects
INDUSTRIAL productivity ,AGRICULTURAL technology ,TOPSIS method ,FIXED effects model ,SUSTAINABLE agriculture ,AGRICULTURAL development - Abstract
The digital economy is integral in driving economic growth, particularly of high-quality standards. Against the backdrop of the "Double Carbon" project, exploring the impact of the digital economy on green agricultural development bears tremendous practical significance. Thus, this study aims to investigate how the digital economy affects agricultural green total factor productivity (GTFP). The entropy-TOPSIS method and SBM-GML index are used to measure core variables quantitatively. In addition, two-way fixed effects panel data models, Tobit, and intermediary effect models are implemented. Three research findings emerge. First, China's agricultural GTFP level generally experiences an upward trend, and the development of the digital economy has a significant positive effect on increasing agricultural GTFP. Second, the digital economy mainly promotes agricultural technology innovation that boosts agricultural GTFP. Third, Western China experiences a more significant positive effect of the digital economy on agricultural GTFP than Central and Eastern China. Finally, based on the findings, this paper proposes relevant policy recommendations to promote green and sustainable agriculture development. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
45. Examining User Engagement and Experience in Agritech.
- Author
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Issa, Helmi, Lakkis, Hussein, Dakroub, Roy, and Jaber, Jad
- Subjects
AGRICULTURAL technology ,ARTIFICIAL intelligence ,ACQUISITION of data ,AGRICULTURAL development ,ELECTRONICS in surveying - Abstract
Agricultural technologies (agri-techs) have focused on developing the AI perspective of human-AI interaction rather than human perceptions and responses. A lack of understanding of their employees' behavioral responses when interacting with advanced technologies can lead to unexpected problems in the future. Drawing on the theoretical perspective of advanced user engagement, this paper examines the impact of five different technostressors on user engagement and, consequently, user experience. For data collection, 464 participants from the U.S. and Asian (Singaporean) agri-tech sectors were interviewed via an electronic survey. The U.S. study showed that techno-overload, techno-complexity, and techno-uncertainty were positively related to user engagement (t = 2.609; t = 6.998, and t = 6.013, respectively), whereas techno-invasion and techno-uncertainty were negatively correlated with user engagement (t = –2.167 and t = –3.119, respectively). The Singapore study showed that techno-overload, techno-complexity, and techno-invasion were negatively related to user engagement (t = –2.185, t = –2.765; t = –5.062, respectively), while techno-insecurity and techno-uncertainty surprisingly showed nonlinear correlations with user engagement. In both studies, user engagement is positively related to user experience (t = 2.009 for the U.S. study and t = 2.887 for the Singapore study). First, this paper provides agri-techs with a modern framework to better predict the behavioral responses of their employees when managing AI. Second, this paper expands the equation of change in the discipline of change management by introducing the dimension of readiness. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
46. Accepting the challenges of agricultural entrepreneurship and management development research: a viewpoint.
- Author
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PLIAKOURA, Alexandra
- Subjects
TRAINING of executives ,ENTREPRENEURSHIP ,ENTREPRENEURSHIP education ,RESEARCH & development ,AGRICULTURAL development - Abstract
The purpose of this paper is to put forward some ideas on what factors significantly affect entrepreneurship in the agricultural sector, in order to help strengthen them as well as outline practical strategies that can be used by future researchers. The paper is a viewpoint contribution based on the author's research on "entrepreneurship" and "entrepreneurship education" engagement with the development of management in the agricultural field. The research carried out in Western Greece among farmers entrepreneurs. A number of ideas are outlined under the following headings: creating mutually interesting content; demonstrating practical implications; motivating academics. The viewpoint summarizes the key challenges of agricultural entrepreneurship stakeholders and will be of interest to policy makers for the creation of well-targeted development programs. [ABSTRACT FROM AUTHOR]
- Published
- 2021
47. Intelligent analysis platform of agricultural sustainable development based on the Internet of Things and machine learning.
- Author
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Liu, Yinghan
- Subjects
AGRICULTURAL development ,SUSTAINABLE development ,INTERNET of things ,MACHINE learning ,WIRELESS sensor networks ,WIRELESS sensor nodes - Abstract
In order to improve the management effect of agricultural sustainable development, this paper uses the Internet of Things technology and machine learning technology as the basis to study the agricultural sustainable development platform. Simultaneously, this paper studies the architecture of wireless sensor nodes and networks oriented to complex agricultural habitat conditions. Moreover, in view of the harsh environment of data collection in agricultural production sites and the higher requirements for network robustness, this paper designs a new type of intelligent sensor network equipment. It is used to effectively reduce the number of tasks undertaken by routing and the completeness of data in a large covered agricultural base area, and to ensure the efficiency and reliability of network data. In addition, this paper combines the needs of sustainable development of smart agriculture to build a smart agriculture platform based on Internet of Things technology and machine learning, and design experiments to verify the performance of the system platform constructed in this paper. From the experimental research, it can be seen that the system constructed in this paper basically meets actual needs. [ABSTRACT FROM AUTHOR]
- Published
- 2021
- Full Text
- View/download PDF
48. Agricultural total factor productivity, digital economy and agricultural high-quality development.
- Author
-
Gao, Dandan and Lyu, Xiaogang
- Subjects
INDUSTRIAL productivity ,HIGH technology industries ,AGRICULTURAL development ,AGRICULTURE ,AGRICULTURAL technology ,SOCIAL stability ,AGRICULTURAL innovations - Abstract
The long-term and stable development of agriculture is the key to China's economic development and social stability. Agricultural total factor productivity and the digital economy have become new kinetic energy and new engines driving agricultural high-quality development. It is of great significance to verify whether there are significant spatial and threshold effects in the process of high-quality development of agriculture and to explore the intrinsic relationship between high-quality development of agriculture and agricultural total factor productivity and digital economy. This paper takes 31 provinces in China from 2011 to 2020 as the research object. The coefficient of variation method is used to estimate the comprehensive evaluation index of agricultural high-quality development and digital economy. And Dea-Malmquist index method is used to estimate agricultural total factor productivity. On this basis, the spatial Durbin model and threshold regression model are constructed to explore the spatial and threshold effects of agricultural total factor productivity, digital economy and other factors and high-quality agricultural development. The conclusion is as follows: the high-quality development of agriculture has significant spatial autocorrelation. Agricultural total factor productivity and digital economy have significant direct effect and indirect spillover effect on the high-quality development of agriculture. Agricultural total factor productivity has stage differences in each range of digital economy level, but its influence on agricultural high-quality development shows a positive state. Based on this, the paper puts forward some countermeasures to promote the high-quality development of agriculture. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
49. PERFORMANCE AUDIT REGARDING THE MANAGEMENT OF AGRICULTURAL SUBSIDY FUNDS.
- Author
-
ZAHARCO, Silvia and PETREANU, Elena
- Subjects
AGRICULTURAL subsidies ,AGRICULTURAL development ,AGRICULTURAL processing ,FINANCIAL management ,AGRICULTURAL marketing ,AGRICULTURAL technology - Abstract
This paper studied the performance audit regarding the management of the agricultural sector subsidy funds in order to determine to what extent the actions undertaken boosted the agricultural development process in the Republic of Moldova. The analysis revealed that the activity of subsidizing agriculture is primarily aimed at increasing competitiveness and the sustainable development of the agri-food sector. This situation leads to the modernization of the agri-food chain, facilitating access to capital markets for agricultural producers, adapting to climate changes and mitigating their effects on agricultural production, increasing rural employment opportunities, developing agricultural businesses, etc. The data on the subsidy activity were taken from the database of the Agency for Intervention and Payments for Agriculture from the Republic of Moldova, which is responsible for managing the subsidy fund. The results of the study highlight a fairly efficient management of financial means for subsidizing the national agricultural sector. [ABSTRACT FROM AUTHOR]
- Published
- 2023
50. Can Farmers Punch Their Tickets to Wealth? The Spillover Effect of High-Speed Railway on Agriculture Development.
- Author
-
Xiao, Ting, Yu, Xin, and Ding, Liang
- Subjects
HIGH speed trains ,AGRICULTURAL development ,FARMERS' attitudes ,EXTERNALITIES ,DATA analysis - Abstract
This paper studied the impact of high-speed railway linesonagricultural outputin the regions along their routes. It also investigated the heterogeneity of this impactbased on the terrain characteristics. The results of empirical testsusing county-level data show that ahigh-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regionswith gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Ourfindingsprovide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and providesa theoretical basis for the economic spillover effects of high-speed railway construction. Plain Language Summary: This paper studied the impact of high-speed railway lines on agricultural output in the regions along their routes. It also investigated the heterogeneity of this impact based on the terrain characteristics. The results of empirical tests using county-level data show that a high-speed railway line can bring higher agricultural "dividends" to counties along the line. Notably, low altitude areas and regions with gentle terrain exhibit a more pronounced promotional effect on local agricultural output. High-speed railways mainly promote agricultural output by promoting the mechanization of agriculture in counties along the route, thus reinvigorating the agricultural population and the development of specialty agriculture. Our findings provide quasi-microscopic evidence of the potential benefits of transportation infrastructure construction to break down geographical barriers and facilitate production factor flow, and provides a theoretical basis for the economic spillover effects of high-speed railway construction. [ABSTRACT FROM AUTHOR]
- Published
- 2023
- Full Text
- View/download PDF
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