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Copyright of Journal of Hubei Open Vocational College is the property of Journal of Hubei Open Vocational College Editorial Office and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Building a safe and controllable, unimpeded circulation, high-quality and efficient smart supply chain system for agricultural products has become an important step to stabilize the agricultural industrial chain and supply chain under the new development pattern.This paper starts with the urgent need of smart transformation of agricultural products supply chain system in the new development situation, analyzes the connotation and framework of high-quality development of smart supply chain system of agricultural products, and analyzes the effect of current construction of smart supply chain system of agricultural products in our country and the main weaknesses.The unbalanced digitization level of each link of the supply chain, the obvious phenomenon of information data island, and the prominent weakness of supporting system construction have become the core issues for the high-quality development of the smart supply chain system of agricultural products. It puts forward the strategic goal of high-quality development of smart supply chain for agricultural products from the 14th Five-Year Plan period to 2035. The key measures to promote the high-quality development of smart supply chain of agricultural products include in-depth research on key core technologies of smart supply chain of agricultural products, construction of big data platform for comprehensive management and service of provincial agricultural supply chain, promotion of digital transformation of all links of agricultural supply chain to deep development, and improvement of traceability system construction of agricultural product quality.

Abstract Given the challenge of pear leaf disease recognition caused by uneven illumination, overlapping leaves, and other green plants in the background, a two‐stage strategy‐based framework for pear leaf segmentation and disease classification is proposed. Initially, a double branch polymerization net fusing features of the low‐level feature branch and semantic branch is constructed to extract the target diseased pear leaf and eliminate background interference. Then an improved lightweight neural network (Inverted‐Inception Efficient‐Excitation‐and‐Filtering‐Bottleneck MobileNet‐v2, I2EMv2) is used to capture multi‐scale lesion information and ainhibit invalid feature channels and filter redundant features for the final classification. The experimental results show that the proposed framework can accurately extract the pear leaf region with complete boundary from the complex background, maximize the retention of lesion information, and achieve high‐precision pear leaf disease identification. The mean absolute error, F‐measure, and intersection over union of leaf segmentation are 0.027, 0.947, and 0.880, respectively, and the average recognition accuracy of leaf disease is 92.05%. Compared with others, the method proposed in this paper has superior performance on segmentation and classification, which provides a reference for pear leaf disease classification under complex background.

A natural appearing microalgae-bacteria consortium was used to process urban wastewater. The process was done in an 80 m2 raceway reactor and the results were compared to an identical reactor operated using freshwater supplemented with commercial fertilisers. The biomass harvesting was done using commercial ultrafiltration membranes to reduce the volume of culture centrifuged. The membrane allowed achieving a biomass concentration of ∼9–10 g L−1. The process proposed avoids the use of centrifuges and the drying of the biomass, two of the most energy consuming steps of conventional processes. The specific growth rate in freshwater and the wastewater-based media was estimated as 0.30 ± 0.05 and 0.24 ± 0.02 days−1, respectively (p < 0.05). The maximum concentration reached at the end of the batch phase was 0.96 ± 0.03 and 0.83 ± 0.07 g L−1 when the biomass was produced using freshwater and wastewater, respectively (p < 0.05). The total nitrogen removal capacity of the system was on average 1.35 g m−2·day−1; nitrogen assimilation into biomass represented 60%–95% of this value. Furthermore, the P-PO43− removal capacity of the system varied from 0.15 to 0.68 g m−2·day−1. The outlet effluent of the reactor was used as a nutrient source in the hydroponic production of zucchini seedlings, leading to an increase in the root dry weight and the stem diameter compared to the water alone. The produced biomass showed potential for use as feedstock to produce plant biostimulants with positive effects on root development and chlorophyll retention.

In the process of rural revitalization, rural e-commerce is gradually realizing the development of scale and is transforming into the live broadcast e-commerce mode. This paper investigates and expands on the live broadcast e-commerce marketing model for agricultural products. Firstly, the strategy of the live broadcast marketing model is explored from the digital level, and three divisions of the e-commerce business model are discussed. The data were obtained by questionnaire survey, and the effect of live agricultural e-commerce on farmers’ sales was empirically analyzed by using the ordered Logit model, which provides a theoretical basis and support for the implementation of the rural revitalization strategy and the promotion of agricultural income. Secondly, the problems and deficiencies in the field of live marketing are analyzed in combination with the 4C theory. The current situation of live marketing is analyzed in the light of consumer characteristics, cost composition, and the convenience of the shopping process. Finally, targeted strategies and suggestions are put forward for the problems of the e-commerce live marketing model. The results of the Logit regression passed the significance test of 5%, which indicated that the agricultural products e-commerce live marketing model can Improve the income level of farmers.

In agricultural services, logistics around agricultural products has been the focus of academic attention. To implement efficient and safe logistics of agricultural products and optimize logistics' overall efficiency and investment cost. This paper describes in detail the routing algorithm based on logical Petri nets, proposes a research system for agricultural product logistics based on the routing algorithm, and analyses system operation results through simulation experiments. The specific conclusions are as follows: (1) The logistics information modeling software based on logical Petri net is established, and the LPN model of the logistics information set is built based on it. (2) It is proposed that the server computer acts as a cloud service platform. The independent computer represents the traditional logistics information retrieval model, and the computational efficiency has been significantly improved. (3) The use of server computers to obtain logistics information in 300-400ms and the use of stand-alone computers to obtain logistics information in 50-120ms, the use of server computers to obtain logistics information is more efficient than using stand-alone computers. (4) Logistics data is a fast-growing trend; stand-alone computers cannot store massive data.

This dataset includes data on the embodied human appropriation of net primary production (eHANPP) associated with products derived from agriculture and forestry. The human appropriation of net primary production (HANPP) is an indicator of changes in the yearly availability of biomass energy from photosynthesis that remains available in terrestrial ecosystems after harvest, under current land use, compared to the net primary production of the potential natural vegetation. HANPP is an indicator of land-use intensity that is relevant for biodiversity and biogeochemical cycles. The eHANPP indicator allocates HANPP to products and allows tracing trade flows from origin (the country where production takes place) to consumption (the country where products are consumed), thereby underpinning research into the telecouplings in global land use. The datasets described in this article trace eHANPP associated with the bilateral trade flows between 222 countries. It covers 161 primary crops, 13 primary animal products and 4 primary forestry products, as well as the end uses of these products for the years 1986 to 2013.

The aim of the study was to use a multi-criteria decisionmaking method to make a rational choice for a new location for the distribution centre of agricultural products in the northeastern part of Bosnia and Herzegovina, specifically in five populated areas. The required criteria were selected based on experiences from previous research in this field, and decision-makers involved in the selection were engineers and technologists from the company in question. The results indicate that the criteria of construction cost and market connectivity gained the greatest importance, and Brčko was chosen as the location for the future distribution centre among the five populated areas. Additionally, the successful application of the used multi-criteria decision-making method, in this case, the CoCoSo method, was demonstrated. This could lead to improvements in making future business decisions within this economic sector.

This paper examines world trade in agri-food products in the context of international economic integration. This is due to the importance of foreign trade for the economic development of countries, especially in the context of globalisation, the increase in the number of integration groups whose participation affects the terms of trade of their member and non-member countries, and the aggravation of the food crisis. The purpose of this article is to identify the state and trends of world trade in agri-food products, taking into account regional characteristics and the participation of countries in integration groupings, and to determine their role in the future. Methodology. The research is based on a comparison of parts of individual regions and integration groups in world trade, identifying trends and features. The publication uses the methods of analysis, synthesis, generalisation, comparative assessment, and graphical methods, in particular, to identify the main trends, draw conclusions, etc. Results. The study shows that world trade in agri-food products is growing significantly, both globally and by region. The countries of Europe and the Americas are the main exporters, but the countries of Asia, South and Central America and Africa are the fastest growing exporters. However, the main suppliers remain the member countries of the most advanced integration groupings - the European Union, the North American Free Trade Agreement (NAFTA) and the Southern Common Market (MERCOSUR). It is proposed to divide the main exporters into regions, integration groups and countries. The issue of food security is one of the most important in modern conditions and within the integration groups. It is advisable that they contribute to some extent to solving this problem at the regional level and in relation to third countries. To this end, it is advisable to develop measures to provide food aid to countries affected by natural disasters, climate change or other adverse circumstances on several fronts: within integration groups, in the region and at the global level. These groups are expected to remain among the largest suppliers of agri-food products in the future, and one of the main reasons for this is their participation in integration groups, which facilitates the liberalisation of the movement of new technologies, in particular to the agricultural sector.

Global demand for food has increased over the years owing to the growing world population size. However, the growing demand has created an avenue for fraudsters to invade the food market with sub-standard products. Therefore, this study sought to synthesise and comprehensively review the available literature on food fraud. Three themes were generated from the 118 papers retrieved from Scopus. The data were analysed using Ms Excel, VOS-viewer and Bibliometrix (Biblioshinny). The results revealed that food fraud had gained increasing concern over the years. Countries like the USA, the UK, Canada and China have been relevant in combating the rising incidence of food fraud. Food products such as organic food, sseafood, food supplements and olive oil are the primary target for perpetrators. The complexity of modern and conventional marketing channels has a significant correlation with food fraud. Lack and inadequate enforcement and supervision of local and international trade regulations have exacerbated the incidence of food fraud in marketing. Again, low levels of countermeasures and technological tools for instant authentication of agricultural products have also negatively increased the global implications of food fraud. From the analysis, it is recommended that countries collaborate to adopt holistic food safety standards and rigorous intervention approaches to detect, dissuade, and prevent fraud activities of individuals and companies.

In recent years, there has been a strong consumer demand for food products that provide nutritional benefits to human health. Therefore, the assessment of the biological activity is considered as an important parameter for the promotion of high-quality food products. Herein, we introduce a novel methodology comprising a complete set of in vitro cell-free screening techniques for the evaluation of the bioactivity of various food products on the basis of their antioxidant capacity. These assays examine the free radical scavenging activities, the reducing properties, and the protective ability against oxidative damage to biomolecules. The adoption of the proposed battery of antioxidant assays is anticipated to contribute to the holistic characterization of the bioactivity of the food product under examination. Consumer motivations and expectations with respect to nutritious food products with bio-functional properties drive the global food market toward food certification. Therefore, the development and application of scientific methodologies that examine the quality characteristics of food products could increase consumers' trust and promote their beneficial properties for human health. [ABSTRACT FROM AUTHOR]

There is a growing research that considers the geographical indications (GIs) of agricultural products and foodstuffs as commons. However, narrative approaches exploring this relationship are scarce. This research analyzed stories attached to twelve Catalan and Swedish products within the European Union's Protected Designation of Origin (PDO), and Protected Geographical Indication (PGI) schemes to map out how narratives of commons are articulated. The analysis raised four key aspects of the narratives of GIs as commons: i) historical constitution; ii) collective efforts as a driving force behind their value; iii) co-responsibility of the community of producers and related actors; and iv) intangible outputs and focus on heritage. The results show that the narratives of GIs as commons have a stronger presence in Catalonia and more clearly address issues of social engagement and cultural heritage than in Sweden. Internal differences were noted in the two countries and some GIs are more commercially oriented and cater for world markets while others are noncommercial and only regionally consumed. The article contributes to the research on GIs, better connecting their complexities throughout their communicative and narrative constitution and articulation as commons. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

The evaluation system of e-commerce logistics capability of agricultural products was constructed by factor analysis method. The feasibility of the evaluation system was verified by taking Hebei Province as an example. Through comprehensive analysis of various influencing factors, combined with the relevant research results, 4 second-order indices (including infrastructure and logistics demand) and 12 third-order indices (including logistics employees and agricultural logistics cost) were selected for evaluation. The results showed that infrastructure and logistics operation were the main influencing factors. Therefore, the logistics capacity of agricultural products e-commerce can be improved from the aspects of improving the logistics infrastructure construction, strengthening the logistics operation and improving the logistics technology level and capacity. [ABSTRACT FROM AUTHOR]

The purpose of this work is to harvest grassy cereals under optimal conditions from the researched area. The harvesting of grassy cereals is a particularly important work that must be carried out on time and with minimal losses. The dynamics of equipping agriculture with mechanical means is continuously increasing, current concerns being directed towards increasing the number of agricultural machines and equipment as well as their improvement. The modern technical endowment of agriculture requires thorough training and a high professional level of all those who use this endowment. The harvesting of agricultural products constitutes the completion and conclusion of the agricultural production process, it is the point of convergence of all human actions, of all the material and spiritual efforts invested by society in the agricultural work process in order to produce material goods so necessary for its existence and development. The modern systems adapted to grain harvesters are materialized through the intensive use of calculation techniques and electro-hydraulic systems for the command and execution of various operations, resulting in optimal parameters in the work process. The sensors installed in the combine, at different working organs, transmit the signals to the on-board computer that processes these signals, displays them on the monitor advising the combine or activates the automatic system, which controls the optimal operating parameters of the work process of the combine within the limits imposed by the user. In conclusion, from what was previously reported, it can be observed that worldwide the companies producing self-propelled combines for grain harvesting have adopted new, viable and high-performance solutions in their construction, which give these combines reliability, productivity and superior quality, comfort and safety in operation their. [ABSTRACT FROM AUTHOR]

Copyright of Journal of Actual Problems of Jurisprudence / Habaršy. Zan̦ Seriâsy is the property of Al-Farabi Kazakh National University and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Diversification of exports and deepening of trade relations is a constant concern of any country. This issue becomes especially relevant if the preferential regime provides an opportunity for economic integration. The Association Agreement (AA) and the Deep and Comprehensive Free Trade Area (DCFTA) between Georgia and the European Union have offered the possibility of economic integration into the EU single market since 2014. Since export diversification is found in the agricultural sector in the top ten export goods both by commodity and geography, and the sector is monopolized or oligopolized according to the main export products, the article will focus on the difficulties of entering the EU market for agricultural products, and more precisely on the role and importance of small agrologistics centers. Based on the results of the research, the article presents conclusions about what should be the optimal agrologistics center for the reality of Georgia, which includes all links of the value chain of agricultural products production. [ABSTRACT FROM AUTHOR]

The aim of the study was to use a multi-criteria decisionmaking method to make a rational choice for a new location for the distribution centre of agricultural products in the northeastern part of Bosnia and Herzegovina, specifically in five populated areas. The required criteria were selected based on experiences from previous research in this field, and decision-makers involved in the selection were engineers and technologists from the company in question. The results indicate that the criteria of construction cost and market connectivity gained the greatest importance, and Brčko was chosen as the location for the future distribution centre among the five populated areas. Additionally, the successful application of the used multi-criteria decision-making method, in this case, the CoCoSo method, was demonstrated. This could lead to improvements in making future business decisions within this economic sector. [ABSTRACT FROM AUTHOR]

[Purpose/Significance] China is a major agricultural country, and the stability of agricultural product prices directly determines the development of China's economy. Developing an agricultural product price index is of great significance for establishing a sound agricultural product price index system, providing participants with a clear understanding of the development status of the agricultural product market, and improving levels for market monitoring and early warning. [Method/Process] Based on the current research results on agricultural product prices and price indices, this study explores the principles of constructing agricultural product price indices, the framework of agricultural product price index system, index classification and grading, calculation models, and weight determination methods, in order to develop a set of agricultural product price index construction methods that are in line with the operational characteristics of agricultural products in the current wholesale market. Based on statistical data and industry research data, an empirical study was conducted on the construction of agricultural product price indices. The five major categories of agricultural product price indices, sub-categories of agricultural product price indices, large variety of agricultural product price indices, and single variety of agricultural product price indices are weighted based on the market volume of each variety of agricultural product during the reporting period of the wholesale market, using the Pap index as the principle, and given weights based on the market volume during the reporting period. The weight of the overall agricultural product price index has been optimized and adjusted, and the model has been constructed using the basis principle of the Laplace index. The weight of major categories of agricultural products such as meat, poultry, eggs, aquatic products, grain and oil, fresh fruits and vegetables is based on per capita agricultural product expenditure data from the Beijing Municipal Bureau of Statistics, while the weight of major categories of agricultural products is based on research data from the Beijing agricultural industry, avoiding the problem of imbalanced weight. [Results/Conclusions] The empirical results indicate that the framework and classification of the agricultural product price index system are reasonable, and the index calculation model and weight determination method are scientific and feasible. This not only enriches and improves the theory and method of constructing the agricultural product price index system, but also provides useful reference for the construction of other circulation chain price indexes of agricultural products, to develop the Beijing agricultural product wholesale price series index. It also plays a positive role in market monitoring and early warning of the operation of the Beijing agricultural product market, enhancing the influence of agricultural product brands, and implementing agricultural insurance. [ABSTRACT FROM AUTHOR]

Geographical indication（GI）tags help some agricultural products to be noticed among numerous agricultural commodities and serve as the“golden signboard”for local development. The evolution of GI agricultural products has played a significant role in the preservation of regional environments as well as the perpetuation of traditional cultures and skills. Influenced by factors such as geographical and cultural resources and political and economic conditions, the distribution and development of GI agricultural products in China is not even. Many regions have low public awareness and weak influence of their GI products. This study aimed to promote the highquality development of GI agricultural products by tracing the development trajectory of these products with a special focus on the relationship between GI agricultural products and the environment of the production area. We integrated existing zoning schemes for the production areas of GI agricultural products with the results of previous studies. Subsequently, we classified the production environments of GI agricultural products, conducted planning research, and investigated the layout of supply chain of different GI agricultural product industries. Our findings indicate that geographical factors, such as climate characteristics, topography, soil conditions, and water resources, of the production areas affect the safety, category distribution, and flavor characteristics of GI agricultural products. The cultural connotations carried by GI agricultural products are endowed by the human history of their production areas. Based on the environmental quality standards of GI agricultural product production areas and the corresponding advantages of their production, we divided the production environments into four categories：green multi-advantage product areas, pollution-free multi-advantage product areas, green few-advantage product areas, and pollution-free few-advantage product areas. The production of GI agricultural products should be tailored to local conditions of the production area. Ecological agricultural technology can help improve different production environments, which can enhance agricultural ecosystem functions. Furthermore, the development and protection of germplasm resources can enhance the species diversity of GI agricultural products and promote their development. Some practices to promote the development level of GI agricultural products in China and enhance their competitive advantage include elevating the energy level of the industry chain, achieving industry chain integration, activating the cluster effect of the industry, strengthening the supervision and protection of GI agricultural product production, and constructing a mutual promotion and benefit-sharing mechanism among the government, enterprises, and farmers. [ABSTRACT FROM AUTHOR]

[Display omitted] Preventing plant loss and improving their health status are essential for agricultural industry. Correspondingly, the deprivation of plants severely impacts our ecological system. As such, global efforts have been intensely made to promote the development of advanced sensing and treatment platforms to forestall plant loss. Existing technologies mainly encounter a number of challenges in providing results in a non-invasive, rapid turnaround, and affordable fashions. Accordingly, notable progressions in innovative approaches—particularly biosensing and delivery platforms, are vastly required for agriculture realm. In this regard, microneedles have emerged as a pivotal technological tool that plays multifaceted roles in biosensing and delivery systems, with attention of growing towards agriculture. Simply put, microneedles offer several advantages over conventional methods for being less invasive, rapid, and highly precise. In this review, recent advancements in microneedle technologies including their implementations in agriculture are highlighted coherently. In particular, extracting DNA from plant leaves and expressing transient genes using microneedles are elaborated in details. Microneedle-based sensing platforms for detecting essential compounds and secondary metabolites are discussed as well. Recent advances focusing the delivery of agrochemicals and nanotherapeutics via microneedles are elaborated. By this means, this review aims to bridge the existing gaps between microneedles and agriculture precisely. [ABSTRACT FROM AUTHOR]

Copyright of Agricultural Outlook (1673-3908) is the property of Institute of Agricultural Information, Chinese Academy of Agricultural Sciences and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

To improve the market competitiveness of agricultural e-retailers, we offer an interactive bundle pricing strategy (IBPS). Compared to existing fixed bundling strategies, IBPS takes into account the variability of customer needs and provides consumers with more and more flexible choice opportunities. As more and more consumers tend to buy more environmentally friendly and healthy organic produce, a hybrid bundle pricing model for organic and inorganic produce is developed with the goal of maximizing retailers' profit and optimizing consumers' surplus, taking into account consumers' organic preferences. Meanwhile, we introduce a free shipping strategy to further stimulate consumption. Then, we propose a heuristic algorithm to solve it and derive the optimal price for various bundled packages. Through numerical analysis, we draw some conclusions and propose corresponding management insights: (1) Compared with traditional online retailing methods, IBPS can effectively stimulate consumption and increase retailers' profits; (2) as the free shipping threshold increases, total profits show a trend of first increasing and then decreasing, indicating that an appropriate free shipping threshold can optimize retailers' profits; (3) as consumers' green preferences increase, the sales of organic products increase while the total profit rises, so it is suggested that retailers increase consumer green preference through appropriate advertising; (4) the higher the consumption level, the higher the total value of consumers' word purchases, so retailers can appropriately increase the free shipping threshold at high consumption levels. [ABSTRACT FROM AUTHOR]

Abstract The rapid development of network technology has revolutionized information dissemination and made it possible for various new communication channels to gradually seep into people’s daily lives. The primary task within the context of new media is the creation of agricultural products live e-commerce. This study first analyses and categorizes the preferences of product purchasers using a collaborative filtering process in order to achieve this. It then suggests a clustering algorithm based on ROCK that improves the link rather than the previously used distance as a criterion for cluster split and can successfully address the problem of data scarcity based on collaborative suggestion. The difficulties of live e-commerce entrepreneurship and the need of fostering new farmers’ live e-commerce entrepreneurship skills are also discussed in this essay. The case study illustrates that the research’s strategy can successfully examine the path towards developing new farmers’ live e-commerce skills.

Realizing nondestructive testing for traceability of the origin of agricultural products is an important way to establish a traceability system for the quality and safety of agricultural products, and an effective means to guarantee the quality of food safety and safeguard the legitimate rights and interests of consumers. Compared with traditional testing methods, nondestructive testing technology is widely used in the field of food traceability because it can achieve the advantages of obtaining internal and external effective information without damaging the inspected samples. This paper provides an overview of NIR spectroscopy, NIR testing, and NIR testing. In this paper, the principles of three spectral detection techniques, namely, near-infrared spectroscopy, hyperspectral imaging and Raman spectroscopy, and their latest applications in the origin traceability of different types of edible agricultural products are outlined, and the feasibility of each spectral detection technique in the origin identification of agricultural products is concluded. At the same time, the future research directions are prospected in order to provide theoretical references for the research of nondestructive testing technology system for origin traceability of agricultural products.

The environment or business environment has a significant impact on the development of the economic activity. This is because every business organization operates under the conditions imposed by its environment. These conditions are determined by many factors, which can be divided into two groups, internal and external. The characteristic of these factors is that they are always dynamic. The purpose of the article is to clarify the specifics of market structures for agricultural products and the possibilities for differentiating agricultural products. Analyzing the market environment is a process of evaluating and integrating the collected information. Through it, the entrepreneur must be able to determine the upcoming changes, which in turn are the likely threats and opportunities for the company. All this helps the farmer to assess the market conditions at the moment and develop a marketing strategy for the future. KEYWORDS: competitiveness, market power, agricultural products

Consumption of thousands of tons of industrial chemicals in agriculture, such as chemical fertilizers and pesticides, has created significant environmental problems. The regulations for the import, production, formulation, and utilization of chemical, biological and organic fertilizers and pesticides are not completely implemented in Iran. According to the latest notification of the Jihad Agriculture Minister entitled "Instructions for monitoring the production and health promotion of plant products" (1095/020-06/04/2022), the Ministry of Health is the body responsible for investigating and monitoring the remaining of chemical compounds (pesticides, fertilizers, growth regulators, plant hormones, nitrates, and heavy metals). Mazandaran University of Medical Sciences Food and Drug Deputy in collaboration with Research and Technology Deputy, The Health of Plant and Livestock Products Research Center, Babol University of Medical Sciences Food and Drug Organization, Provincial Agricultural Jihad Organization, Provincial Agricultural and Natural Resources Research Center, Agricultural and Natural Resources Engineering Organization of Iran, Iran National Standards Organization, and Environment Protection Agency aim at regulating the utilization of chemical pesticides in agricultural products (strategic products) in Mazandaran province to control the consumption of pesticides in agricultural products and minimize their potential risk to human health and the environment. The main solutions include generating QR Code in the integrated electronic services system of the Organization of Agricultural Engineering and Natural Resources and issuing certificates for product improvement in the Electronic Agricultural Permits System in order to register plant products in production units.

Ensuring the stability of agricultural products logistics is the key to ensuring people's livelihood. The forecast of agricultural products logistics demand is an important guarantee for rational planning of agricultural products logistics stability. However, the forecasting of agricultural products logistics demand is actually complicated, and it will be affected by various factors in the forecasting process. Therefore, in order to ensure the accuracy of forecasting the logistics demand of agricultural products, many influencing factors need to be considered. In this study, the logistics demand of agricultural products is taken as the research object, relevant indicators from 2017 to 2021 were selected as characteristic independent variables and a neural network model for forecasting the logistics demand of agricultural products was constructed by using Informer neural network. Taking Henan province, Hubei province and Hunan province in Central China as examples, the logistics demands of agricultural products in the three provinces were predicted. At the same time, long short-term memory network (LSTM) and Transformer neural network were used to forecast the demand of agricultural products logistics in three provinces of Central China, and the prediction results of the three models were compared. The results showed that the average percentage of prediction test error based on Informer neural network model constructed in this study was 3.39%, which was lower than that of LSTM and Transformer neural network models of 4.43% and 4.35%. The predicted value of Informer neural network model for three provinces was close to the actual value. The predicted value of Henan province in 2021 was 4185.33, the actual value was 4048.10, and the error was 3.389%. The predicted value of Hubei province in 2021 was 2503.64, the actual value was 2421.78, and the error was 3.380%. The predicted value of Hunan province in 2021 was 2933.31, the actual value was 2836.86, and the error was 3.340%. Therefore, it showed that the model can accurately predict the demand of agricultural products logistics in three provinces of Central China, and can provide a basis for rational planning and policy making of agricultural products logistics. Finally, the model and parameters were used to predict the logistics demand of agricultural products in Henan, Hunan, and Hubei provinces in 2023, and the predicted value of Henan province in 2023 was 4217.13; Hubei province was 2521.47, and Hunan province was 2974.65, respectively. The predicted values for the three provinces in 2023 are higher than the predicted values in 2021. Therefore, based on the logistics and transportation supporting facilities in 2021, it is necessary to ensure logistics and transportation efficiency and strengthen logistics and transportation capacity, so as to meet the growing logistics demand in Central China.

BACKGROUND With the increasing concern for food safety, especially for the elemental composition and efficacy of plant-derived foods and health products, research on the nutrient analysis of related foods is continuously carried out. At present, due to the wide variety of agricultural and health products, and the different environments in which the plant matrix grows, the elements absorbed by plants during the growth process vary greatly, making it difficult for many foods to meet the requirements of the calibration and testing system simply by using pure standards. It is necessary to combine the matrix reference materials for calibration and develop new plant-based reference materials. OBJECTIVES To improve the situation that there are few existing plant matrix reference materials, by developing 9 kinds of plant matrix reference materials for elemental analysis. Except for the reference materials for elemental analysis in notoginseng powder, all of them were developed for the first time, which supplemented the types of plant matrix elemental analysis reference materials and were mainly used in food nutrition and safety analysis and testing technology research of plant samples. METHODS In the early stage of development, the selection of candidate reference materials with the representative matrix were investigated and studied. The samples were pretreated, dried, crushed, sieved, and examined by a laser particle size analyzer before being packed in 45mL HDPE plastic bottles and inactivated by 60Co irradiation, which can be stored for a certain period of time. The samples were randomly selected from 30 bottles during the whole packing process, and the homogeneity test was performed by inductively coupled plasma-mass spectrometry (ICP-MS), inductively coupled plasma-optical emission spectrometry (ICP-OES), atomic fluorescence spectrometry (AFS) and volumetric method (VOL). The long-term stability of the reference materials under the specified storage conditions and the transport stability at 60℃ were investigated and the results were evaluated by trend analysis, which showed that the samples were stable under the specified conditions. The operation guideline of reference materials characterization analysis was developed, and 11 laboratories worked together to analyze 59 elements: Ag, Al, As, B, Ba, Be, Bi, Br, Ca, Cd, Ce, Cl, Co, Cr, Cs, Cu, Dy, Er, Eu, F, Fe, Gd, Ge, Hg, Ho, I, K, La, Li, Lu, Mg, Mn, Mo, N, Na, Nd, Ni, P, Pb, Pr, Rb, S, Sb, Sc, Se, Si, Sm, Sn, Sr, Tb, Th, Ti, Tl, Tm, U, V, Y, Yb, Zn. RESULTS The data of the developed series of reference materials were statistically judged by Grubbs and Dixon and the suspicious values were rejected, with a rejection rate of less than 3%. Shapiro-Wilk was used to test the normality of the fixed value data, in which the element Ti in red bean, Bi, I and Th in needle mushroom, Ti in tremella, and I in jasmine had a skewed distribution of the original measurement data, and no certified value was taken only as the median value for reference, and the arithmetic mean of the customized data was used as the certified value for the remaining elements. The certified values and uncertainties of the nine reference materials were above 40, among which, 53 certified values and uncertainties were given for hawthorn and notoginseng. The uncertainty of reference materials consists of homogeneity uncertainty, stability uncertainty and characterization uncertainty. This series of reference materials was developed under the concept of metrological traceability, and a variety of quality control measures were taken to ensure the accuracy and reliability of analytical results and was applied as national level reference materials in 2021. The names and number are as follows: chemical composition of red bean (GBW10228), onion (GBW10232), rape (GBW10233), needle mushroom (GBW10247), tremella (GBW10248), root starch (GBW10249), hawthorn (GBW10250), notoginseng (GBW10251), and jasmine (GBW10234).The existing plant matrix elemental analysis reference materials are mostly found in rice, wheat, tea and other major agricultural and sideline food, and the certified value elements are mainly macronutrients and heavy metals. The present series of reference materials cover agricultural and health products with a large amount of daily sampling, except for notoginseng, which is developed for the first time, supplementing the variety of relevant quality control samples in the food testing field, with 59 certified value elements, which can effectively reflect the composition of elements in relevant products.In this study, more regionally representative candidates were selected, focusing on the beneficial nutritional elements K, Ca, Na, Mg, P, Zn, Fe and harmful metal elements As, Hg, Cd, Pb, whose contents can reflect the distribution characteristics of the elements in different samples and origins, such as red beans, which is a health food, and the candidates were picked from Yi'an County in Songnen Plain (one of the important commodity grain bases in China). It contains high contents of beneficial nutrients such as K (1.392g/100g), Ca (0.104g/100g), Mg (0.165g/100g), P (0.457g/100g), Zn (24μg/g) and Fe (71μg/g), and low contents of Pb (0.033μg/g), Cd (5.4ng/g) and other harmful metal elements, which are far below the national limit standards, reflecting the fertile black soil of Songnen Plain and the effectiveness of China's land management. For elements of Cd and Pb, red beans (5.4ng/g) and (0.033μg/g), onions (17ng/g) and (0.322μg/g), needle mushroom (33ng/g) and (0.126μg/g), rape (170ng/g) and (0.9μg/g), notoginseng (311ng/g) and (0.7μg/g), jasmine (420ng/g) and (1.65μg/g) form a gradient range, which is more applicable for food testing quality control. It can be found that the content of heavy metals in health products such as notoginseng and jasmine are higher than that in vegetable products such as rape and needle mushroom, which has a certain guidance for selecting suitable quality control samples in analytical testing. This is a guideline for the selection of suitable quality control samples.Due to the progress of the current testing methods and instruments, the precision of the data for the determination of rare earths and other elements with very low contents in some samples was good, and standard values were given, such as Eu (9.4±1.7ng/g), Ge (7.8±2.3ng/g), Lu (1.7±0.5ng/g), Tb (5.3±0.9ng/g), Tm (1.8±0.6ng/g) in rape, while the previous reference materials of similar vegetable matrixes did not reach such definite levels. CONCLUSIONS The development of the series of plant matrix reference materials is supplemental and improves the existing plant matrix reference materials, with obvious distribution characteristics of elements and wide applicability of the gradient range. This series of reference substances covers lots of elements with certified values, which is suitable for the quantity transfer and quality control of biological samples analysis and provides basis for the research on the correlation between the medicinal value and elements of health products.

Agricultural products are highly perishable and, hence, we need to preserve these products after harvest. India is an agricultural country and, thus, the post-harvest storage of perishable agricultural products is important to reduce the gap between the demand and supply. Cold storage technologies have been developed and are used in India; however, these technologies are not popular in rural and remote areas due to the higher initial cost and the electrical energy requirement. Therefore, a number of low-cost technologies have been developed and, among these technologies, the evaporative cooling technology is gaining in popularity due to its simple design and lower initial cost. In this work, we have developed and tested a solar photovoltaic (PV) powered evaporative cooling system and used coconut coir as the cooling medium and compared the results with celdex pad. From this work, we observed that this system is an economical and efficient in reducing the temperature and increasing the relative humidity for the storage of agricultural products.

A novel co-bonded octyl and pyridine silica (OPS) sorbent was prepared and applied for the solid phase extraction (SPE) of cyclopiazonic acid (CPA, a type of mycotoxin) in feed and agricultural products for the first time. A simple mixed-ligand one-pot reaction strategy was employed for OPS sorbent preparation. Nitrogen adsorption–desorption measurements, elemental analysis (EI), thermal gravimetric analysis (TGA), and Fourier transform infrared spectroscopy (FT-IR) analysis demonstrated the successful immobilization of octyl and quaternary ammonium groups onto the surface of silica gel. The large specific surface area, high-density functional groups, and mixed-mode anion-exchange characteristics of these silica particles made them the ideal material for the efficient extraction of CPA. Additionally, the OPS sorbents displayed excellent batch-to-batch reproducibility, satisfactory reusability, and low cost. The SPE parameters were optimized to explore the ionic and hydrophobic interactions between CPA and the functional groups, and the ultra-high performance liquid chromatography coupled with triple-quadrupole tandem mass spectrometry (UPLC-MS/MS) parameters were optimized to obtain a desirable extraction efficiency and high sensitivity to CPA. Meanwhile, the OPS sorbent presented a satisfactory extraction selectivity and low matrix effect. Under the optimized conditions, our developed CPA detection method was used to determine CPA level in rice, wheat flour, corn flour, peanut, and feed samples, exhibiting a lower detection limit, better linearity, higher sensitivity, and satisfactory extraction recovery rate than previously reported methods. Therefore, our method can be preferentially used as a method for the detection of CPA in agricultural products and feeds.

The quality and safety of agricultural products involve a variety of risk factors, a large amount of risk information data, and multiple circulation and disposal processes, making it difficult to accurately trace the source of risks. To achieve precise traceability of agricultural product quality and safety, the monitoring and supervision level of agricultural product traceability systems needs to be improved. In this paper, the agricultural product quality- and safety-related detection data are taken as the research object, the agricultural product supply chain and business process are sorted out, the agricultural product risk factors under the influence of heavy metals are analyzed, and the agricultural product quality and safety risk evaluation model is established. The agricultural product risk traceability system was designed based on the six-layer architecture of the equipment layer, data layer, service layer, application layer, display layer, and user layer. Combined with the agricultural product quality and safety risk evaluation model, the system data were stored and modified by using the MySQL relational database, and the agricultural product risk traceability system was developed, which realized the accurate traceability of the risk link of the quality and safety of agricultural products. The research results of this paper provide an effective information means for the quality and safety supervision of agricultural products, and provide a technical reference for the development of a traceability system of risk factors related to agricultural products, which has good practical significance.

Given the challenge of pear leaf disease recognition caused by uneven illumination, overlapping leaves, and other green plants in the background, a two‐stage strategy‐based framework for pear leaf segmentation and disease classification is proposed. Initially, a double branch polymerization net fusing features of the low‐level feature branch and semantic branch is constructed to extract the target diseased pear leaf and eliminate background interference. Then an improved lightweight neural network (Inverted‐Inception Efficient‐Excitation‐and‐Filtering‐Bottleneck MobileNet‐v2, I2EMv2) is used to capture multi‐scale lesion information and ainhibit invalid feature channels and filter redundant features for the final classification. The experimental results show that the proposed framework can accurately extract the pear leaf region with complete boundary from the complex background, maximize the retention of lesion information, and achieve high‐precision pear leaf disease identification. The mean absolute error, F‐measure, and intersection over union of leaf segmentation are 0.027, 0.947, and 0.880, respectively, and the average recognition accuracy of leaf disease is 92.05%. Compared with others, the method proposed in this paper has superior performance on segmentation and classification, which provides a reference for pear leaf disease classification under complex background. [ABSTRACT FROM AUTHOR]

This study selects input and output indicators of 16 agricultural products in China from 2011 to 2020 to conduct static and dynamic analysis of production efficiency and economic efficiency of agricultural products using BCC model and Malmquist model. The results of Malmquist model show that the production efficiency of agricultural products in China is mainly influenced by technical efficiency, among which the most affected crops by technical efficiency are oilseed rape and cotton. In terms of economic efficiency of agricultural products, the BCC model yielded six types of non-effective agricultural products China, and the input indexes were adjusted for non-effective agricultural products. Non-effective agricultural products should have more inputs in labor costs and fertilizer inputs should be reduced for some agricultural products. In response to the results, corresponding policies are proposed, and China should combine the farming characteristics of agricultural products themselves to carry out agricultural technology innovation to improve technical efficiency and promote agricultural science and technology. [ABSTRACT FROM AUTHOR]

Combined with the current situation of marketing of Chinzhou big cherries in Tianshui, we find out the problems in the development of network marketing of Chinzhou big cherries and put forward corresponding countermeasures and suggestions to improve its marketing level and solve the problem of imbalance between supply and demand of Qinzhou big cherries. [ABSTRACT FROM AUTHOR]

Pesticides are commonly used in agriculture because of their high insecticidal efficiency, higher agriculture product yield and better income. Nevertheless, their residues can enter the human body through the atmosphere, water, soil, and food, and cause various chronic or acute diseases. The major route of transmission of pesticides into human body is through food. Therefore, alongside chemical detection methods of pesticides in agriculture products/food items, modern technology base high speed methods are necessary to reduce transmission of pesticides into human body. This study introduced ordered mutual information into Bayesian network to construct the initial network, and proposed a Bayesian network algorithm oriented to ordered monotone classification. Based on the method of this study, it was observed that the detection rate and over standard rate of pesticide residues in agricultural products decreased by year (P < 0.01). Similarly, the detection rate of pesticide residues in fruits also decreased by year. The detection rate of pesticide residues in bulb, leafy vegetables, jacket and melon was significantly higher than that in other fruits (P < 0.01). Based on the study, it is concluded that pesticides residues in the agricultural products, vegetables and fruits are obvious and their transmission to human body should be reduced. [ABSTRACT FROM AUTHOR]