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Farmers constitute a large professional group worldwide. In developed countries farms tend to become larger, with a concentration of farm operations. Animal farming has been associated with negative respiratory effects such as work-related asthma and rhinitis. However, being born and raised or working on a farm reduces the risk of atopic asthma and rhinitis later in life. A risk of chronic bronchitis and bronchial obstruction/COPD has been reported in confinement buildings and livestock farmers. This position paper reviews the literature linking exposure information to intensive animal farming and the risk of work-related respiratory diseases and focuses on prevention. Animal farming is associated with exposure to organic dust containing allergens and microbial matter including alive microorganisms and viruses, endotoxins and other factors like irritant gases such as ammonia and disinfectants. These exposures have been identified as specific agents/risk factors of asthma, rhinitis, chronic bronchitis, COPD and reduced FEV1. Published studies on dust and endotoxin exposure in livestock farmers do not show a downward trend in exposure over the last 30 years, suggesting that the workforce in these industries is still overexposed and at risk of developing respiratory disease. In cases of occupational asthma and rhinitis, avoidance of further exposure to causal agents is recommended, but it may not be obtainable in agriculture, mainly due to socio-economic considerations. Hence, there is an urgent need for focus on farming exposure in order to protect farmers and others at work in these and related industries from developing respiratory diseases and allergy. [ABSTRACT FROM AUTHOR]

Farmers constitute a large professional group worldwide. In developed countries farms tend to become larger, with a concentration of farm operations. Animal farming has been associated with negative respiratory effects such as work‐related asthma and rhinitis. However, being born and raised or working on a farm reduces the risk of atopic asthma and rhinitis later in life. A risk of chronic bronchitis and bronchial obstruction/COPD has been reported in confinement buildings and livestock farmers. This position paper reviews the literature linking exposure information to intensive animal farming and the risk of work‐related respiratory diseases and focuses on prevention. Animal farming is associated with exposure to organic dust containing allergens and microbial matter including alive microorganisms and viruses, endotoxins and other factors like irritant gases such as ammonia and disinfectants. These exposures have been identified as specific agents/risk factors of asthma, rhinitis, chronic bronchitis, COPD and reduced FEV1. Published studies on dust and endotoxin exposure in livestock farmers do not show a downward trend in exposure over the last 30 years, suggesting that the workforce in these industries is still overexposed and at risk of developing respiratory disease. In cases of occupational asthma and rhinitis, avoidance of further exposure to causal agents is recommended, but it may not be obtainable in agriculture, mainly due to socio‐economic considerations. Hence, there is an urgent need for focus on farming exposure in order to protect farmers and others at work in these and related industries from developing respiratory diseases and allergy. [ABSTRACT FROM AUTHOR]

Detecting foodborne contamination is a critical challenge in ensuring food safety and preventing human suffering and economic losses. Contaminated food, comprising biological agents (e.g. bacteria, viruses and fungi) and chemicals (e.g. toxins, allergens, antibiotics and heavy metals), poses significant risks to public health. Microfluidic technology has emerged as a transformative solution, revolutionizing the detection of contaminants with precise and efficient methodologies. By manipulating minute volumes of fluid on miniaturized systems, microfluidics enables the creation of portable chips for biosensing applications. Advancements from early glass and silicon devices to modern polymers and cellulose‐based chips have significantly enhanced microfluidic technology, offering adaptability, flexibility, cost‐effectiveness and biocompatibility. Microfluidic systems integrate seamlessly with various biosensing reactions, facilitating nucleic acid amplification, target analyte recognition and accurate signal readouts. As research progresses, microfluidic technology is poised to play a pivotal role in addressing evolving challenges in the detection of foodborne contaminants. In this short review, we delve into various manufacturing materials for state‐of‐the‐art microfluidic devices, including inorganics, elastomers, thermoplastics and paper. Additionally, we examine several applications where microfluidic technology offers unique advantages in the detection of food contaminants, including bacteria, viruses, fungi, allergens and more. This review underscores the significant advancement of microfluidic technology and its pivotal role in advancing the detection and mitigation of foodborne contaminants. [ABSTRACT FROM AUTHOR]

This paper provides an overall picture of women's representation and gender parity in the field of Agricultural Economics by constructing and analyzing a database of agricultural economists in China. We find that female scholars "occupy half the sky" in number, but not all the way up to the higher‐ranking academic positions. Women lag behind men in terms of research performance and academic promotion; even more so, gender disparity becomes more prominent when moving up the ranking ladder. A closer examination of agricultural economists of different age cohorts indicates that the gender gap, both in numbers engaged in the profession and academic performance measured by Chinese paper publications and nation‐level projects chaired, is narrowing. However, gaps in the number of high‐quality paper publications and the time span before promotion, alongside the phenomenon of a "leaky pipeline" in academia, are growing significantly over time. The representation of "star scientists" shows similar, yet steeper trends. In the absence of detailed studies, the paper explores possible explanations of the converging gender gap in scale but increasing gender disparity that is termed a "leaky pipeline." It concludes that the Policy of Enrollment Expansion in Higher Education provides vulnerable young females with more opportunities to access higher education, which increases both the number and proportion of women in the profession. [ABSTRACT FROM AUTHOR]

Objectives: Chronic malnutrition remains a persistent global health issue. This mixed methods investigation in rural Peru examines the role of home food production (HFP) in reducing child malnutrition by testing the following hypotheses: (a) higher HFP will be associated with higher infant z-scores than those with less HFP and (b) infants with higher HFP will exhibit improved longitudinal growth outcomes across 6 months., Methods: Ethnographic methods include semi-structured interviews and participant observation. A household survey and anthropometric data were collected twice, from 86 infants under of 24 months old. A HFP index (HFI) was generated based on reports of animals for meat consumption, eggs, milk, and agricultural products for home consumption. Kruskal-Wallis tests were used to examine patterns of HFI and infant anthropometrics. Multivariate regressions were used to examine the relationships between HFP and infant height for age (HAZ), weight for age (WAZ), and triceps skinfold for age (TSAZ) in both rounds and 6-month change between rounds (6MΔ)., Results: There were no relationships between HFI and infant z-scores in round one, however, HFI was significantly positively related to HAZ (B = 0.091, P < .039) in round two and with 6MΔ in HAZ (B = 0.09, P < .047). HFI did not predict WAZ or TSAZ in either round., Conclusions: HFP represents an important influence of infant growth in Nuñoa, likely through nutritional improvement due to increased availability of animal-sourced foods and through contribution to household economy and maternal empowerment., (© 2020 Wiley Periodicals LLC.)

Climate variability has increased the frequency of disasters and affected the livelihood of the people to a greater extent. Therefore, livelihood vulnerability assessment assumes greater significance for understanding the interlinkages between climate variability induced disasters and livelihood pattern. In this paper, an attempt has been made to trace knowledge gaps, examine trends of research, and suggest future direction. We first collected 191 papers in the domain from Web of Science and Google scholar search engines from 1999 to 2019. Descriptive and thematic attributes of these papers were reviewed for identifying the missing links between climate variability and livelihood vulnerability and recommending future research action. Findings revealed that most of the studies were conducted at the local and regional level where the agricultural sector has taken dominance over other sectors. There is limited interdisciplinary coordination on the subject leading to limited cross‐scale interactions. Geographically, more studies were carried out in the plains. Future research should focus on mountains and coastal areas. Forest, aquaculture, and dairy farming should accord priority in such ecosystems. Empirical studies with an interdisciplinary approach need to be carried out for livelihood vulnerability assessment. [ABSTRACT FROM AUTHOR]

Background: An estimated two billion people do not have sufficient access to nutritious food, and nearly half are dependent on small‐scale and subsistence farming. Projections show that the global population is not on track to reach the Sustainable Development Goals. With this in mind, development actors are increasingly seeking to better integrate rural farmers into agricultural markets. This synthesis of the literature can help to inform policy decisions to improve outcomes for smallholder farmers in low‐ and middle‐income countries, and to enable the realization of the Sustainable Development Goals. This work is the most comprehensive and up‐to‐date review synthesizing evidence from 262 interventions. Objectives: The purpose of this systematic review is to appraise and synthesize evidence of the effects of five types of interventions facilitating farmers' access to output markets in low‐ and middle‐income countries. We examine how these effects vary across contexts and subgroups. We also identify evidence on program costs and evidence gaps in the literature. Search Methods: The search of included studies was based on nine major databases/search engines and 25 institutional websites, using a set of English search terms. We also conducted forward and backward citation tracking of literature, published a public call for papers, and contacted key experts. Selection Criteria: We included studies on the effects of five types of output market access interventions, focusing on participants residing in low‐ and middle‐income countries: (1) Farm‐to‐market transport infrastructure interventions; (2) Access to output market information interventions; (3) New marketplaces or alternative marketing opportunities interventions; (4) Contract farming interventions; (5) Improved storage infrastructure and technologies interventions. We included published and unpublished studies from 2000 onwards, with experimental and quasi‐experimental study designs focusing on relevant outcomes. Data Collection and Analysis: We screened 52,366 studies, identifying a total of 439 papers representing 289 unique studies on the effects of 262 interventions in 53 countries. Data extraction and risk of bias assessments were completed by two independent reviewers. Main Results: All five types of output market access interventions resulted in small‐to‐moderate positive effects on almost all measures of market participation, agricultural production, and welfare outcomes. These improvements occurred through a reduction in transaction costs, adoption of improved practices, greater farm investment, access to higher prices for farmers, greater volume sold, and increased farm income. Effects vary by intervention type. However, the body of evidence is comprised of a large share of included studies with a high risk of bias. Few studies have information on the cost of interventions, and there are gaps in the available evidence. Authors' Conclusions: Output market access interventions are effective in reducing transaction costs and addressing market failures, thereby leading to higher income levels. Evidence of effects on food security and nutrition is sparse and has not provided conclusive findings. We also found that multi‐component interventions are not necessarily more effective than single component interventions. The specific needs and dynamics of each context should inform the choice of the intervention and approach. Investments in additional research with low risk of selection bias and confounding effects will improve the evidence base, especially for outcomes that constitute gaps in the literature. For example, the effects on quality of agricultural products and group participation are under‐researched, and we did not find any included studies focusing on North Africa or the Middle East. Collecting and reporting information on interventions' cost‐effectiveness will help decision‐makers to prioritize limited resources. [ABSTRACT FROM AUTHOR]

Moisture detection through naked eye is important in various fields, including pharmaceuticals, fuels, materials, and agriculture. In this study, we demonstrate the use of a strategically designed organic molecule, 2AMBP, for the detection of moisture in organic solvents and real‐life samples. The principle behind this sensory system involves fluoride‐induced deprotonation followed by water‐induced re‐protonation. The deprotonated form of 2AMBP displays a color‐changing response (yellow to pink) even in trace amounts of water (LOD: 0.0207 % by spectrophotometric analysis), making it a highly sensitive probe for detecting moisture. We show that the anionic receptor moieties of 2AMBP can be employed for the quantification of water impurity in various real‐life samples, and we develop inexpensive, reusable, dye‐coated paper sensor for quick onsite moisture detection and quantification. Interestingly, a smart phone camera can be used to provide relative RGB values that directly correlate to the amount of moisture present in the sample. The 2AMBP‐F‐ exhibits significant changes in fluorescence properties in the presence and absence of water, which makes it an effective fluorescent switch for detecting moisture. Overall, 2AMBP is a highly sensitive, sustainable material that can be conveniently used by laymen for moisture detection without the need for specific instruments or expertise. [ABSTRACT FROM AUTHOR]

Background and Aims: Two main problems the globe currently facing are migration and weather variation. Weather change has a significant impact on the agricultural industry, which affects the majority of poor people. There is a dearth of adequate methodological documentation when examining the relationship between weather variation, agricultural output, and migration. We aimed to identify methodological reporting difficulties by reviewing the quantitative literature on weather‐related migration through agricultural channels. Methods: A systematic evaluation was conducted using papers published between January 2010 and June 2022, indexed in the SCOPUS, PUBMED, and Google Scholar databases. Using inclusion/exclusion criteria, we selected 22 original research articles out of 18,929 distinct articles for review, in accordance with the PRISMA guidelines. We extracted data from each study to understand how various concepts, research designs, and investigative techniques influence our understanding of migration patterns related to weather in the agricultural sector. Results: The majority (64%) of the study's data consisted of time series data. In 50% of the studies, secondary data were used. Additionally, 55% of these studies did not state the sample size. In 40% of the studies, model assumptions were fully adhered to, whereas in 36% of the studies, they were not followed at all. The majority of the articles used the Ordinary Least Squares technique, while about 41% applied the Two‐Stage Least Squares technique. Various tests were conducted across these studies, such as robustness checks (59.1%), endogeneity tests (31.8%), omitted variable bias tests (22.7%), sensitivity analyses (22.7%), and weak instrument tests (13.6%), to name a few. In the research we selected, the methodology section had various shortcomings and lacked organization. Furthermore, the justifications for deviations from model assumptions were unclear, potentially affecting the study outcomes. Conclusion: This study has important indications for researchers in studying climatic (weather) migration through agricultural channels besides for policymakers by giving a thorough review of the methods and techniques. Key points: Providing narrative insights on how various issues, research designs, and analytical techniques shape our understanding of the association between weather variation and migration via agricultural production.Providing a broad overview of the pertinent literature, covering 22 articles, as a complement to earlier studies.Our study has important ramifications for researchers studying climatic (weather) migration through agricultural channels as well as for policymakers by giving a thorough review of the methods and techniques currently used in this sector.Future studies on weather variation, agricultural production, and migration should use prudent and comparable models that capture whole climatic (weather) impacts on migration through mediating factors like agricultural production. [ABSTRACT FROM AUTHOR]

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Conservation biological control suppresses pests by promoting established rather than inoculative or mass released natural enemies. Research in this approach has expanded rapidly this century but uptake remains limited. Why? Most of the 150 peer reviewed papers reporting field experiments include results on natural enemies and/or pests. Only a minority report effects on crop damage levels or yield, and very few consider economic consequences. This is despite evidence for potential benefits across this full spectrum of response variables. We argue that the limited scope of work to date constrains the development of a compelling evidence base to demonstrate the field effectiveness of conservation biological control, hampering its uptake so encourage researchers to include the assessment of economic impact in future studies of conservation biological control. © 2020 Society of Chemical Industry [ABSTRACT FROM AUTHOR]

The lack of health insurance for smallholder farmers in most sub‐Saharan African countries hurts the families and can also negatively affect agriculture production, exports, and tax revenues. This paper analyzes the linkage between medical emergencies and agriculture exports and the corresponding tax revenues for smallholder farmers in Côte d'Ivoire. It uses two complementary datasets: the 2016 Consultative Group to Assist the Poor (CGAP) smallholder survey and the 2015 Côte d'Ivoire living standard survey. The paper finds that a medical emergency is negatively and significantly associated with a decrease in the likelihood that a smallholder farmer cultivates cocoa of 3.9 percentage points, driving them into poverty and reducing productivity at the lower quantiles. The paper then estimates that medical emergencies can be correlated with the decline in cocoa exports of $853 million and in tax revenues of $125 million, representing 0.2% of the Ivorian gross domestic product (GDP) in 2017. [ABSTRACT FROM AUTHOR]

Under the climate change aggravating the issues of energy security and food shortage, global agriculture suffers from great pressure, and how to promote sustainable agriculture has become one of the hot issues of concern in academia. This paper focuses on China, where efforts are being made to develop sustainable agriculture, and takes the western part of Shandong Province as the target of study. Based on the identification of factors that affect the promotion of the local circular agriculture implementation, AMOS was applied to construct and test the structural equation model and to explore the interaction mechanism between each variable. The study breaks through the traditional modes of data collection and is based on the actual farming conditions of the farmers currently, choosing to obtain data by means of questionnaires and field surveys. The 24 selected factors were analyzed by SPSS and AMOS software, and the total model weight of each factor were calculated separately. The top five key factors affecting the advancement of the model, namely government policy encouragement, preferential agricultural loans support, participation of specialized agricultural organizations, estimated revenue of the mode and farmers' awareness of environmental protection, are obtained with weight of 6.08%, 5.60%, 5.59%, 5.26% and 5.09%, respectively. Combined with data to focus on analysis, this paper puts forward some relevant countermeasures and suggestions to promote the integrated planting and breeding mode in accordance with local conditions, which can provide beneficial reference for government departments to make relevant policies. [ABSTRACT FROM AUTHOR]

COVID‐19 has had deep impacts on a wide range of vulnerable communities in Canada. Migrant agricultural workers in the southwestern region of Ontario were particularly impacted. Fearing the threat of the 'racialized foreign other', the Canadian state produced myriad securitization responses with heightened surveillance. This paper will examine both state and non‐state forms of securitization and the response from both workers and activists such as the advocacy group Justicia for Migrant Workers (J4MW). While there has been ample discussion of how vulnerable migrant agricultural workers were affected during the pandemic, there has been less attention paid to how state policies have heightened and targeted specific groups such as migrant agricultural workers through modes of securitization. Central to this was to ensure that labour needs would be met to ensure the viability of Canada's multi‐billion agricultural industry. This paper shows how securitization and control were vital to ensure no disruptions to production levels and Canada's role as a leading agricultural export producer. [ABSTRACT FROM AUTHOR]

In this paper, we review current understandings of anthropogenic field systems, focusing on trends and variations in the chronology of field construction, use, and in some cases, abandonment, as well as labor organization of agrarian production across the Lake Titicaca Basin. These trends indicate that agricultural intensification increased both during the political centralization of the Tiwanaku state and during periods of political fragmentation. In contrast to prior work on fields in the region, we argue that there was no single cultural, environmental, or historical impetus that ignited the construction of any particular field type. Additionally, we present the results of pedestrian survey of terraces carried out in 2018 in the northern Lake Titicaca Basin. While there were regional commonalities across survey areas in the masonry design of terrace risers, presence of pathways and radiating walls separating vertical tracts of terraces, and a general absence of irrigation, we found deviations from each of these trends in individual terrace complexes. While preliminary evidence indicates that more terraces were built or cultivated during the Late Intermediate period (1100–1450 CE) than in other time periods in the northern Titicaca basin, some terraces were likely built earlier. Our findings point to the multiplicity of strategies that ancient farmers employed in the varied ecological settings of the Lake Titicaca basin under diverse sociopolitical programs. This contrasts with previous research on agrarian field systems, which is mostly single‐sited and tends to emphasize individual strategies over the quiver of agrarian options available to Andean farmers. [ABSTRACT FROM AUTHOR]

During the mid-1990s, a banana river irrigation farm that was launched in Southwestern Burkina Faso by a returning emigrant refugee spread throughout the region as far as neighboring Ghana. With relative abundant fertile, arable farmland in Ghana, easy access to input and modest capital mobilization by a few Ghanaian University lecturers to clear farmland and construct ridges and lay pipes for irrigation, a new cash crop production was set in motion. This paper analyzes the implication of this innovative rural agricultural intensification in the Ghana side of the border by shifting the angle of analysis away from narratives of transnational African agricultural commercialization driven by foreign corporations to instead focus on the role played by the local elite. The paper demonstrates that the viability of this irrigated farming can be attributed to imported banana crop variety, local rural producers' entrepreneurial zest, and enhanced existing cross- border ties and commercial opportunities made possible by the construction of a strategic regional highway linking the farm sites with large urban and market centers in Burkina Faso. [ABSTRACT FROM AUTHOR]

A sustainable transition in the agri‐food system holds society‐wide implications. Farmers play central roles in responding to climate change, environmental degradation and sustainable food production. Still, factors underlying how farmers make decisions and manage their farms are often marginalised in efforts to develop policies to tackle these issues.The concept of relational values, defined as preferences, principles and virtues based on human–nature relationships, recently emerged to expand understandings of environmental decision‐making in general and that of farmers specifically. As agricultural landscapes are dynamic and characterised by the interaction of various actors with diverse values and interests, how these interactions influence farmers' decisions remains underexplored.This paper engages with these issues by using qualitative data on Norwegian horticultural farmers' motivations, opportunities and challenges in farming. We find that their relational values (a) are influential in shaping farmers' decisions about farm management and (b) are continually unfolding and embedded within a web of other actors, including grocers, retailers, consumers, farm advisors and policymakers, which shapes farmers' enactment of their relational values.In the context of agriculture, this research underlines the utility of an in‐depth understanding of relational values as embedded in wider social systems to enrich analyses of farmer decision‐making. How farmers' relational values are shaped and realised through interactions with other actors holds important implications for policy and programming to navigate tensions between different interests and actors for sustainable and long‐term change. Read the free Plain Language Summary for this article on the Journal blog. Read the free Plain Language Summary for this article on the Journal blog. [ABSTRACT FROM AUTHOR]

Smallholder farmers in developing nations face multifaceted challenges as they strive to secure fair prices for their agricultural products. With a primary focus on bolstering sustainable agricultural value chains (SAVC), this conceptual paper investigates the transformative potential of Financial Technology (FinTech) solutions. The study synthesizes insights from prior research on SAVC, hurdles faced by smallholder farmers, conventional strategies, and the untapped prospects offered by FinTech solutions in the agricultural sector. Utilizing the PRISMA strategy for comprehensive documentation retrieval, the study underscores the significance of creating a robust SAVC to empower smallholder farmers within the broader value chain landscape. It is found that Agri‐FinTech solutions represent a pivotal avenue for advancing living standards and cultivating agricultural sustainability in developing nations. The integration of FinTech solutions for agri‐credit mechanisms and product market facilitation catalyzes enabling pre‐production financing and ensures fair prices for smallholder farmers in the post‐production phase while neutralizing the value chain's exploitation potential. The study advocates for the expeditious adoption of information technology in developing countries, spotlighting the transformative role of Mobile Financial Services (MFS), which fortifies the agriculture sector, ensuring its resilience and responsiveness to the evolving demands of a globalized market. Drawing upon an evaluation of existing literature on FinTech‐enhanced agricultural initiatives in developing nations, the study outlines directions for future research and creates a path for a more nuanced understanding of the strategic enhancements necessary to fortify the SAVC, fostering a sustainable and equitable ecosystem for smallholder farmers. [ABSTRACT FROM AUTHOR]

Summary: In the world of intelligent agriculture, agricultural disease picture detection plays a critical role. Plant disease identification must be efficient if agricultural production is to be increased sustainably. Anomalies in plants affected by viruses, insects, nutritional deficiencies, or poor weather conditions have traditionally been diagnosed by human experts. Deep learning (DL) and transfer learning, two sophisticated machine learning techniques synonymous with the advancement of artificial intelligence technologies in recent years, have started to be used for the identification of agricultural diseases. However, a variety of significant obstacles exist in the way of widespread use of these approaches. This paper looks at DL and transfer learning in particular, and discusses recent developments in using these advanced technologies to recognize agricultural disease images. Many DL architectures have recently been adopted, along with visualization tools, which are critical for identifying signs and classifying plant diseases. The analysis and evaluation of these two approaches show that transfer learning is the better choice given existing agricultural disease data tools. The paper then looks at the key problems that need to be addressed for research in this area to advance, such as image dataset creation, the collection of big data auxiliary domains, and the optimization of the transfer learning process. The construction of technically feasible agricultural disease image recognition systems requires the creation of image datasets collected under real cultivation conditions. This survey aims to learn more about DL capabilities in plant disease detection to increase device efficiency and accuracy in future research. [ABSTRACT FROM AUTHOR]

A major limiting factor affecting the uptake of conservation agriculture practices in smallholder farming systems in sub‐Saharan Africa is the limited availability of sufficient crop residues for use as surface mulch. This paper assesses the trade‐offs in crop residue utilization among smallholder farmers and its implications for soil management in the face of climate change risks in northern Ghana. The paper triangulated data from 350 household surveys with participatory key informant interviews from seven selected communities in three districts of northern Ghana. The problem confrontation index (PCI) was adopted to identify and rank the challenges associated with farmers' decision to use crop residues, while a multivariate probit model was used to analyse and predict the factors that influence farmers' choice of crop residue management practices. Results showed that crop residues were used as cooking fuel in households (21%), livestock feed (21%), left on the farm to decompose as mulch (34%) or burned to clear the land (24%). Key challenges identified included high labour cost (PCI = 404), high labour intensity (PCI = 388), the cost and transport for collection and storage of externally sourced crop residue (PCI = 383) and the low benefit from crop residue to farm output/soil fertility (PCI = 339). Results from the multivariate probit model revealed that household and farm variables, institutional and socio‐psychological factors, and experience of some climate shocks all influence farmers' choice of crop residue management practices. Crop residue use and management practices adopted were determined by factors including the crops being grown, challenges faced by farmers and the management options available. The study recommends the need for the Government of Ghana to empower farmers through the provision of technical knowledge and machinery for the sustainable utilization of crop residues due to the high labour intensity and cost associated with such practices. [ABSTRACT FROM AUTHOR]

Agricultural markets remain major issue downgrading root and tuber crop farmers who form the mainstream of the agricultural producers in Malawi. Recent evidence however reveals that orange‐fleshed sweet potato (OFSP) (Ipomea batatas) is currently being sold in produce markets along with the non‐orange varieties, sometimes in differentiated form in Malawi. The main objective of this study was to examine factors affecting market participation of sweet potato farmers in southern region of Malawi. Using a double‐hurdle model, this paper analyzed both the factors affecting farmer decision to participate and the extent/intensity of participation in market. The first tier of the double hurdle focused on decision to participate in the market using probit model and the second tier addressed factors affecting intensity of participation using truncated normal regression model. The paper used data collected from 360 farmers in southern districts of Malawi. Out of 360, 146 farmers had grown OFSP in the season preceding the survey. Double hurdle results indicate that farm size, output, age of a farmer (household head), and early maturing trait significantly determined decision to participate in the market. Further, results on intensity of participation indicate that access to market training, farm size, asset value, and output positively determined the intensity and negatively determined by distance to main market and gender of a farmer (household head). Based on the research findings, higher output levels and early maturing trait were found to increase smallholder farmer market participation. It is therefore recommended that strategies aimed at increasing household capacity to produce surplus produce through market tailored extension messages and productivity enhancement technologies could be highly effective in fostering smallholders' participation in commercial markets. Again, enhanced capacity building of research institutions to breed sweet potato varieties based on market demand is pivotal for increased market participation. Furthermore, research suggests that improving smallholder farmers' access to market price information, asset value, and farm size can help increase their intensity in the market. Therefore, it is critical for policymakers to holistically comprehend these socioeconomic factors in order to address the issue of smallholder farm households' decisions about market participation and the degree to which they participate. Core Ideas: Orange fleshed sweet potato is currently being sold along with non‐orange varieties, sometimes in differentiated.Decision to participate in market is significantly influenced by output, farm size, age early maturing attribute.Market intensity is determined by access to training, distance to market, farm size, gender, asset value and output.Breeding programs should integrate both sensory and agronomic traits such as early maturity and good taste. [ABSTRACT FROM AUTHOR]

The Complete Coverage Path Planning (CCPP) problem is a subfield of industrial motion planning that has applications in various domains, ranging from mobile robotics to treatment applications. Especially in precision agriculture with a high level of automation, the use of CCPP techniques is essential for efficient resource utilization, reduced soil compaction, and increased yields. This paper reviews the CCPP problem in the context of machines operating in agricultural fields and proposes a methodological approach consisting of three steps: Generating the Guidance Tracks (i.e., the track system along which the path should be oriented), determining the traversing sequence through these tracks, and planning a smooth and drivable path. This paper provides an in‐depth review of optimization‐based approaches that deal with the first step, the generation of the guidance track system. Thereby, a comprehensive and pedagogical approach for the generation of guidance tracks for arbitrarily shaped two‐dimensional regions of interest is provided, along with an overview and detailed elaboration on different exact cellular decomposition techniques found in literature. Furthermore, cost functions are outlined for the different approaches presented in this work, which are utilized to generate optimal guidance tracks. Finally, this survey serves as an introductory guide for research and practitioners to solve the CCPP problem effectively and efficiently. [ABSTRACT FROM AUTHOR]

Aim: As climate change increases the frequency and severity of droughts in many regions, conservation during drought is becoming a major challenge for ecologists. Droughts are multidimensional climate events whose impacts may be moderated by changes in temperature, water availability or food availability, or some combination of these. Simultaneously, other stressors such as extensive anthropogenic landscape modification may synergize with drought. Useful observational models for guiding conservation decision‐making during drought require multidimensional, dynamic representations to disentangle possible drought impacts, and consequently, they will require large, highly resolved data sets. In this paper, we develop a two‐stage predictive framework for assessing how drought impacts vary with species, habitats and climate pathways. Location: Central Valley, California, USA. Methods: We used a two‐stage counterfactual analysis combining predictive linear mixed models and N‐mixture models to characterize the multidimensional impacts of drought on 66 bird species. We analysed counts from the eBird participatory science data set between 2010 and 2019 and produced species‐ and habitat‐specific estimates of the impact of drought on relative abundance. Results: We found that while fewer than a quarter (16/66) of species experienced abundance declines during drought, nearly half of all species (27/66) changed their habitat associations during drought. Among species that shifted their habitat associations, the use of natural habitats declined during drought while use of developed habitat and perennial agricultural habitat increased. Main Conclusions: Our findings suggest that birds take advantage of agricultural and developed land with artificial irrigation and heat‐buffering microhabitat structure, such as in orchards or parks, to buffer drought impacts. A working lands approach that promotes biodiversity and mitigates stressors across a human‐induced water gradient will be critical for conserving birds during drought. [ABSTRACT FROM AUTHOR]

Summary: Maize grain is deficient in lysine. While the opaque2 mutation increases grain lysine, o2 is a transcription factor that regulates a wide network of genes beyond zeins, which leads to pleiotropic and often negative effects. Additionally, the drastic reduction in 19 kDa and 22 kDa alpha‐zeins causes a floury kernel, unsuitable for agricultural use. Quality protein maize (QPM) overcame the undesirable kernel texture through the introgression of modifying alleles. However, QPM still lacks a functional o2 transcription factor, which has a penalty on non‐lysine amino acids due to the o2 mutation. CRISPR/cas9 gives researchers the ability to directly target genes of interest. In this paper, gene editing was used to specifically target the 19 kDa alpha zein gene family. This allows for proteome rebalancing to occur without an o2 mutation and without a total alpha‐zein knockout. The results showed that editing some, but not all, of the 19 kDa zeins resulted in up to 30% more lysine. An edited line displayed an increase of 30% over the wild type. While not quite the 55% lysine increase displayed by QPM, the line had little collateral impact on other amino acid levels compared to QPM. Additionally, the edited line containing a partially reduced 19 kDa showed an advantage in kernel texture that had a complete 19 kDa knockout. These results serve as proof of concept that editing the 19 kDa alpha‐zein family alone can enhance lysine while retaining vitreous endosperm and a functional O2 transcription factor. [ABSTRACT FROM AUTHOR]

Stakeholders require transparency that companies are conducting business sustainably, which can be provided through non‐financial disclosures. Businesses that act on environmental, social, and governance (ESG) matters can attain a competitive advantage. ESG has become necessary in the agricultural sector as agribusinesses are considered high‐impact companies. The lack of uniformity in reporting guidelines leads to inconsistent and overloading of information. The objective of this paper is to conduct an evaluation and comparison of the current ESG reporting practices of listed agribusinesses in South Africa, Australia, and Chile. To support the quality and quantity of reporting, the concept of materiality is addressed by recognising what is material to be disclosed to stakeholders. The study evaluates how agribusinesses have incorporated the proposed material topics of the new GRI 13 sector standard into their current reporting practices. A qualitative content analysis was done to identify the presence or absence of the 34 proposed material topics in their reports. The findings indicate a distinct lack of harmonisation in the agri‐food sector disclosures. Topics hardly mentioned included the rights of indigenous people, living income, and climate adaptation. Low disclosures of the keywords Climate adaptation with 3.3% and Climate resilience with 7.0% on average, for all three countries, were reported. It is recommended that the newly proposed GRI 13 sector standard must be implemented as companies can seize this opportunity for increased transparency and gain a strategic advantage. Emphasis on the materiality concept is needed as it connects with the stakeholder theory to disclose only important information. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: Lavaka, large gullies in Madagascar, can cause problems for farmers and for infrastructure, but these features also have beneficial aspects that have generally been overlooked. They provide plant refugia, and commonly host species that would otherwise not thrive on the grassy uplands. Farmers sometimes make use of lavaka to plant crops that require more protection or soil moisture. Colonial narratives blame lavaka erosion on poor land management but ignore their pre‐human‐settlement existence on the landscape and the ecological functions they serve. The knowledge and wisdom of Malagasy farmers are key to better understanding the complex roles that lavaka plays in the landscape. Summary: This paper combines a review of lavaka—erosional gullies in Madagascar's grass‐covered highlands—with new observations of their importance as ecological patch environments for a wide range of plants not seen elsewhere within the grassy biome. Lavaka play a role as a natural refugia for flora that would otherwise not thrive on the exposed and infertile hillslopes, and local farmers exploit their topography and sediment deposits to grow a variety of crops. We provide a classification scheme for lavaka based on the extent to which they have been colonised by vegetation. Our analysis is based on observations made over many field seasons in the highlands as well as interviews with Malagasy farmers living with lavaka on their land. We emphasise the importance of local knowledge and environmental wisdom in the analysis of landscape evolution, and we conclude that lavaka, while certainly an erosional problem in many places, can nonetheless provide valuable ecosystem services and agricultural opportunities that should not be overlooked. [ABSTRACT FROM AUTHOR]

Farmland fragmentation is a typical feature of arable land use in the economies dominated by smallholder production mode, and scientific evaluation of farmland fragmentation is an effective and crucial process to find and solve problems. Farmland fragmentation, as a kind of long‐standing physiographic landscape and agricultural economic phenomenon under the comprehensive effect of "human‐land‐property rights", not only contains the scale status and spatial distribution of cultivated patches but also is featured with farming and tenure right. However, the theoretical interpretation of the multidimensional characteristics of farmland fragmentation was insufficient, and it was rare to evaluate the farmland fragmentation based on plot scale. To this end, an evaluation framework of farmland fragmentation with four dimensions and 12 indicators was constructed in this paper. Moreover, regarding Minqing County located in China's southeast coast as a case, empirical research was thus conducted. The findings indicated that the physical properties of farmland patches were depicted through scale fragmentation. Spatial fragmentation represented the spatial distribution of farmland patches. Farming fragmentation revealed agricultural production and management differences while tenure fragmentation embodied the tenure rights segmentation induced by the land distribution system. Farmland fragmentation consolidation was an effective way to solve these issues, and some differential tactics should be conducted in accordance with the path of "zoning types–obstacle factors–consolidation directions–treatment measures". [ABSTRACT FROM AUTHOR]

Using a novel dataset on foreign direct investment (FDI), this paper analyzes the correlates of planned FDI in the food and beverages sector in 49 African countries over the period 2003–2017. It applies the random effects model and augments the standard specification of FDI determinants with a set of factors related to the agricultural sector performance, hypothesized to be essential from the perspective of supply chain linkages and access to raw materials. The results indicate that well‐performing and well‐capitalized agricultural sector of the host country is a key factor associated with the choice of investment location by foreign investors, especially those from the Global North. Capital investment in agriculture, as proxied by agricultural gross fixed capital formation and net capital stock, is particularly important. Public investment in agriculture, in the form of government expenditure and official development assistance, is also associated with higher FDI. These factors, however, are not significant in case of the least developed countries where only market potential appears to matter for foreign investors. The results suggest that complementarities may exist between different types of investments and that policy‐makers willing to attract food and beverages FDI should prioritize agricultural sector development. [EconLit Citations: E22, E24, F21, F23, Q00, Q13, Q18]. Practitioner points: Planned FDI in the food and beverages sector in Africa are driven by the potential that a domestic emerging consumer class represents and investors choose large and fast‐growing markets.Well‐performing and well‐capitalized agricultural sector of the host country appears to be a key factor associated with the choice of investment location by foreign investors, especially those from the Global North. Capital investment in agriculture, as proxied by agricultural gross fixed capital formation and net capital stock, is particularly important.The results suggest that complementarities may exist between different types of investments and that policy‐makers willing to attract food and beverages FDI should prioritize agricultural sector development.In the least developed countries in Africa, only the market potential, as reflected by both the market size and its dynamics, is associated with higher FDI, while the evidence is missing for the agricultural sector performance indicators. [ABSTRACT FROM AUTHOR]

Copyright of Irrigation & Drainage is the property of Wiley-Blackwell 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.)

This paper explores the role of technology‐based start‐ups in supporting the implementation of sustainable agriculture (SA) practices in Indonesia. Through a qualitative multiple‐case studies research strategy, this research identifies several roles of start‐ups in implementing SA. The start‐ups create sustainable archetypes mainly for the economic and social aspects, but not all of them penetrate the environmental side. Start‐ups can contribute to the agricultural system in three ways: (1) focus on solving fundamental problems, (2) focus on solving fundamental problems and providing strategic solutions, and; (3) focus on providing advanced solutions. In the implementation mechanism, the start‐ups experienced various risks from the natural environment, the internal environment, or other actors—especially producers—due to dependencies. The disappearance of start‐ups from the agriculture system or the inhibition of their business can reduce or hinder the implementation of SA practices. Regarding the debate concerning the necessity of government support for start‐ups to achieve sustainability, this paper argues that government support is still needed in a situational just‐in‐time manner. [ABSTRACT FROM AUTHOR]

This paper proposes a new method for evaluating green growth in agriculture (GGA) based on a set of key performance indicators and a synthetic index. To this end, we used the zero unitarisation method. The objects of study were seven countries/groups of countries with the largest share in agricultural production in 2020. This paper attempts to answer the following questions: (1) Has there been any progress in fulfilling the assumptions of the green growth concept implemented in the agricultural sector of the examined countries? (2) Which countries do better, and which do worse in that respect? (3) What are the challenges respective countries need to face? In the analysed years, the mean GGA index increased from 0.3287 to 0.3342, which means that the overall level of 'greening' in agriculture grew insignificantly. Out of the seven analysed countries/regions, China did the best in handling the challenges of GGA, while India did the worst. The paper discusses the reasons for this state of affairs, simultaneously making recommendations for improving the existing situation. [ABSTRACT FROM AUTHOR]

Current soil‐ and land degradation seriously challenge our societies; it contributes to climate change, loss of biodiversity and loss of agricultural productions. Yet, soils are also seen as a major part of the solution, if maintained or restored to provide ecosystem services. Climate‐smart sustainable management of soils can provide options for soil health maintenance and restoration. In the European Union, the resource management and sustainability challenge are addressed in the Green Deal that, among other goals, aspires towards a healthy climate‐resilient agricultural sector that will produce sufficient products without damaging ecosystems and contribute to better biodiversity and mitigate climate change. The European Joint Programme (EJP) SOIL was set up to contribute to these goals by developing knowledge, tools and an integrated research community to foster climate‐smart sustainable agricultural soil management that provides a diversity of ecosystem service, such as adapting to and mitigating climate change, allowing sustainable food production, and sustaining soil biodiversity. This paper provides an overview of the potential of climate‐smart sustainable soil management research to the targets of the Green Deal that are related to soils most directly. The EJP SOIL EU‐wide consultation (interviews and questionnaires) and literature analysis (national and international reports and papers) done in the first year (2020–2021) generated a wealth of data. This data showed that there are specific manners to do research that are essential for it to be effective and efficient and that can actively contribute to the Green Deal targets. We concluded that research needs to be: (i) interdisciplinary, (ii) long‐term, (iii) multi‐scaled, from plot to landscape, (iv) evaluating trade‐offs of selected management options for ecosystem services and (v) co‐constructed with key stakeholders. Research on climate‐smart sustainable soil management should be developed (1) on plot scale when mobilizing soil processes and on landscape scale when addressing sediment and water connectivity and biodiversity management; and (2) address the enabling conditions through good governance, social acceptance and viable economic conditions. [ABSTRACT FROM AUTHOR]

This paper highlights the relevance of Marxian class analysis to understand the changing nature of agrarian classes under capital‐intensive agriculture. It is a methodological exercise that builds on Patnaik's labour exploitation index (E‐criterion) in three major respects to construct a new index, namely, the Modified Labour Exploitation Index (MEI), to differentiate peasant classes. First and most important, it incorporates the role of mechanisation, which, so far, has been ignored in the methodological attempts to differentiate within the peasantry. Second, it underscores the importance of non‐agricultural (and non‐rural) bases of simple reproduction in the countryside by incorporating hired‐out labour by agricultural households to the non‐agricultural sector into the classification criteria. Finally, it makes surplus labour exploited through land leasing empirically testable by using Marx's differential and absolute rent to differentiate between subsistence and commercial leasing. The new index is then empirically tested using primary data collected from rural Haryana, India. The paper argues that MEI is an effective criterion for understanding changing class dynamics, the shifting modes of the livelihood of the poor peasantry and the largely hidden accumulation processes in agrarian societies. [ABSTRACT FROM AUTHOR]

The integrated farming system (IFS) is a holistic farming approach specially designed for small/marginal farmers to enhance the system productivity, profitability, and employment generation of their farm, ultimately ensuring their food and nutrition security for their livelihood. The mechanism of IFS offers various ecosystem services making farms environment‐friendly, sustainable, and climate‐resilient. IFS is characterized by the allocation of different agricultural components systematically in a single farm performing synergistically among themselves making the farm more productive, healthy, biodiversity enriched, and eco‐friendly than simplified farms. Therefore, this review paper represents an extensive analysis of existing literature on IFS exploring its concept, components, and need, and emphasizing its potential for higher system productivity, profitability, and employment generation in a sustainable manner. Moreover, it develops a conceptualization of the relationship among different agricultural components in a single farm exploring its role in ecosystem services (reducing greenhouse gases, carbon sequestration, nutrient recycling, improving soil health, and biodiversity conservation). [ABSTRACT FROM AUTHOR]

In Senegal, agriculture is an important sector underpinning the socioeconomic fabric of the populace. Notably, the agricultural production in this region exhibits heightened sensitivity to climatic perturbations, particularly droughts and heat waves. This study aims to determine the resilience of different agronomic interventions for farmers practicing mixed farming that produce both crops (i.e., groundnut (Arachis hypogaea L.) and pearl millet (Pennisetum glaucum (L.) R. Br.)) and raise animals in the Groundnut Basin in Senegal, which holds historical and socioeconomic significance. To understand the current situation regarding demographics, economics, consumption behavior, and farm operations for smallholder farmers, data were comprehensively collected from government and nongovernment organizations (NGO) reports, scientific papers, organization databases, and surveys. Additionally, the Agricultural Production Systems sIMulator (APSIM) was used to understand how combinations of three planting dates, three plant densities, and six urea nitrogen (N) fertilizer rates affected the yield of pearl millet, which were used as the alternative scenarios to the baseline in the farm modeling and analyses. All the collected and generated data were used as inputs into the Farm Simulation Model (FARMSIM) to generate economic, nutritional, and risk data associated with mixed farming systems. The generated data were then used to determine the resilience of the alternative scenarios against the baseline. Initially, a multi‐objective optimization was employed to meet nutritional needs while maintaining a healthy diet at the lowest cost. Then, the scenarios that met the population's nutritional requirements were evaluated based on four economic indicators: net cash farm income (NCFI), ending cash reserves (EC), net present value (NPV), and internal rate of return (IRR). Lastly, those that passed the economic feasibility test were ranked based on risk criteria certainty equivalent (CE) and risk premium (RP). The analyses found N fertilizer rates of 0, 20, and 100 kg N ha−1 were generally economically not feasible. Additionally, medium (early‐July to late‐August) and late (late‐July to mid‐September) planting dates generally performed better than early (early‐June to late‐July) planting dates, while plant densities of 3.3 and 6.6 pL m−2 performed better than 1.1. The robust resilience approach introduced in this study is easily transferable to other regions. [ABSTRACT FROM AUTHOR]

Growing recognition of the potential vulnerabilities of major crop systems has spurred a growing interest in the potential of alternative crops which may be resilient to climate change and also help mitigate its effects. In Indonesia, such issues are particularly pertinent given that country's particular vulnerability to climate change impacts high dependence on agricultural livelihoods and varied topographies and growing conditions. Cyrtosperma merkusii (giant swamp taro) is a wetland plant which has historically formed part of food systems in the eastern Pacific. The plant has the potential to be cultivated as a source of starch on marginal coastal land and on peatlands with high water tables. The aim of this paper was therefore to determine site conditions that promote growth of C. merkusii and the macro and micronutrient status of the corms. Naturally, the size of the plants varied substantially among sites, with a neutral pH, and low redox and conductivity being strong edaphic predictors of corm size. Despite substantial differences in the soil properties of the different study sites, there were no significant differences in the macro and micronutrient content of the corms. Field trials showed that although the plants grew under dry land conditions, the plants grew bigger and yielded corms with greater concentrations of Fe, Mn and K under waterlogged conditions, indicating that a high‐water table is the best cultivation environment for C. merkusii. The nutrient content of the corms suggests that, although primarily a starch crop, C. merkusii could also increase the intake of Fe in populations where Fe deficiency is pervasive. We conclude that the wetland plant C. merkusii has considerable potential as a paludiculture crop in low‐lying areas of SE Asia as it was tolerant of a wide range of soil conditions and performed well when cultivated under waterlogged conditions without additional fertilisation. [ABSTRACT FROM AUTHOR]

Societal Impact Statement: A diverse portfolio of genetically engineered food crops, as well as animal livestock and fish, are currently being developed and commercialized. To ensure their contributions to long‐term sustainability, a broad range of environmental, health, ethical, and societal parameters should be used in their evaluations. This paper proposes a set of parameters to evaluate the sustainability of genetically engineered food and agriculture products and discusses mechanisms to improve their governance and oversight. With such holistic evaluations, genetic engineering applications that are deemed beneficial to sustainable agriculture could be identified in an effort to foster sustainability. Summary: To achieve international sustainable development goals, food and agricultural production need to rely on sustainable and resilient practices. Traditional breeding as well as the use of new agricultural technologies, including genetic engineering and gene editing, have the potential to help achieve sustainable agrifood production. Although numerous oversight mechanisms exist to guarantee the secure and sustainable advancement and utilization of genetically engineered agrifoods, the majority of these mechanisms heavily depend on a narrow set of parameters to assess risks and safety concerning human health and nontarget organisms. However, a more comprehensive range of parameters should be considered to promote environmental and social sustainability in a more holistic manner. This Opinion article argues that to achieve a more sustainable agrifood production that relies on genetic engineering, governance systems related to new agrifood biotechnologies should incorporate a broader array of environmental, health, ethical, and societal factors to ensure their sustainability in the long‐term. To facilitate this process, we propose a set of parameters to help evaluate the sustainability of agrifoods that rely on genetic engineering. We then discuss major challenges and opportunities for formalizing sustainability parameters in US governance policy and decision‐making systems. Overall, this work contributes to further developing a more comprehensive assessment framework that aims to minimize potential risks and maximize potential benefits of agrifood biotechnology while also fostering sustainability. [ABSTRACT FROM AUTHOR]

Pesticide spraying is one of the risky and very essential task in agriculture to protect plants from harmful organisms. Many farmers are used manual pesticide spraying devices that they carry these devices on their shoulders and spray on the entire plant. Due to this, harmful pesticide chemicals spread into the air and may enter into the body of farmers and farm workers through the breathing system and mostly affect their body parts even, so many farmers lost their life. For this serious problem, we present the best solution to perform this task without the intervention of man is to utilize a robotic system in an agriculture. This paper analyses the state‐of‐the‐art reviews in the development of autonomous pesticide spraying robots that are divided into four main categories; platform mobility and steering, localization and navigation control, sensing and target detection, and pesticide spraying arrangement. This paper also focused on the efficient methodology that can be used for future perspectives to enhance pesticide spraying operations in an agriculture. In this paper, to achieve target spraying operation, a suitable navigation control algorithm for platform movement and an efficient trajectory planning algorithm for shortest link movement are designed which covers the shortest distance to visit all targeted pests on the plant. This technique will help to reduce the overdose of toxic pesticides hence minimize the wastage of pesticides and also control its dangerous effects on the human being and on the environment. [ABSTRACT FROM AUTHOR]

This study investigated available literature on leveraging the Internet of Things (IoT) to optimize the food fermentation process. Utilizing a subjective examination strategy through bibliometric investigation, this paper assessed 44 articles between 2013 and 2022. The bibliometric study focused on publications per author, publications per country, and a research center based on co‐occurrence keywords, and research patterns. While available publications in this domain show IoT can be used to optimize the fermentation process, uptake has been slow and has been in an infant stage in the past 8 years. The scholarly articles, using the co‐occurrence of keywords, showed five (5) clusters, which are (i) implementing IoT in forecasting the fermentation process to achieve effective quality control, (ii) remotely monitoring and automating the production process to achieve effective process control, (iii) monitoring temperature in real‐time during the fermentation process, (iv) digitally storing parameters during the fermentation process using WLAN, and (v) applying middleware in the processing properties of agricultural produce. These cluster areas revealed how IoT can be used to optimize the food fermentation process. Given the growth and interest in IoT technologies in the food fermentation process, this study explored available literature to highlight available IoT technologies in developing strategies for the food fermentation process and predictive analysis of fermented food products. Practical applications: Using IoT technologies, manufacturers may optimize their regulatory procedures and product quality by monitoring food fermentation process parameters such as temperature, carbon dioxide, humidity, viscosity, and so on in real‐time. Food manufacturers may also obtain and use these real‐time data for food safety. Some cutting‐edge smart sensors and cloud‐based predictive analytics systems can equally predict stages of the fermentation process and possibly detect challenges along the process. [ABSTRACT FROM AUTHOR]

Demand for sustainably produced biomass is expected to increase with the need to provide renewable commodities, improve resource security and reduce greenhouse gas emissions in line with COP26 commitments. Studies have demonstrated additional environmental benefits of using perennial biomass crops (PBCs), when produced appropriately, as a feedstock for the growing bioeconomy, including utilisation for bioenergy (with or without carbon capture and storage). PBCs can potentially contribute to Common Agricultural Policy (CAP) (2023–27) objectives provided they are carefully integrated into farming systems and landscapes. Despite significant research and development (R&D) investment over decades in herbaceous and coppiced woody PBCs, deployment has largely stagnated due to social, economic and policy uncertainties. This paper identifies the challenges in creating policies that are acceptable to all actors. Development will need to be informed by measurement, reporting and verification (MRV) of greenhouse gas emissions reductions and other environmental, economic and social metrics. It discusses interlinked issues that must be considered in the expansion of PBC production: (i) available land; (ii) yield potential; (iii) integration into farming systems; (iv) R&D requirements; (v) utilisation options; and (vi) market systems and the socio‐economic environment. It makes policy recommendations that would enable greater PBC deployment: (1) incentivise farmers and land managers through specific policy measures, including carbon pricing, to allocate their less productive and less profitable land for uses which deliver demonstrable greenhouse gas reductions; (2) enable greenhouse gas mitigation markets to develop and offer secure contracts for commercial developers of verifiable low‐carbon bioenergy and bioproducts; (3) support innovation in biomass utilisation value chains; and (4) continue long‐term, strategic R&D and education for positive environmental, economic and social sustainability impacts. Perennial biomass crops (PBCs) can potentially contribute to Common Agricultural Policy (2023–27) objectives provided they are carefully integrated into farming systems and landscapes. Despite significant research and development (R&D) investment over decades in herbaceous and coppiced woody PBCs, deployment has largely stagnated due to social, economic and policy uncertainties. This paper identifies the challenges in creating policies that are acceptable to all actors and discusses the interlinked issues: (i) available land; (ii) yield potential; (iii) integration into farming systems; (iv) R&D requirements; (v) utilisation options; and (vi) market systems and the socio‐economic environment. [ABSTRACT FROM AUTHOR]

The seminal work of the Intergovernmental Science‐Policy Platform on Biodiversity and Ecosystem Services on pollinators, pollination, and food production, informed scientific studies on the understudied impacts of mining on agriculture sub‐sectors. This paper assesses the potential impacts of mining activities on beekeeping as an agricultural sub‐sector, and the flow‐on effects on associated economic values and enterprises to enhance sustainable development. A case study is conducted in the emerging northwest gold mining region of Ghana. The Location Quotient (LQ) and Location Association (La) models are used to explore the economic significance of beekeeping, its spatial links with tree habitats, and mining activities. Geographic Information Systems (GIS) were used to analyze the spatial interactions between concessions, trees, and beekeeping. The paper finds that districts with LQ < 1 in beekeeping also record LQ > 1 in mining, and La < 50 between beekeeping and mining. The findings are useful for stakeholder decision‐making toward harnessing and leveraging the prospects of mining on integrated rural and sustainable development. [ABSTRACT FROM AUTHOR]

After more than four decades of production in the European Union, turbot (Psetta maxima) farming is a mature sector with a moderate growth trend (2.74% in 2020). Although up to seven countries started the production of this species, there are only four producing countries in 2020, with more than 90% of the production concentrated in the Iberian Peninsula. The objective of this paper is to analyse the economic performance of turbot companies in the EU between 2009 and 2020. In this way, biological, environmental, technological, political and social factors will be interrelated with the economic‐financial performance of the sector in order to reach a holistic understanding of this industry. The novelty of this paper lies in the fact that it is the first to analyse the profitability of the 22 turbot companies, aggregated by size and location, in the EU. The results show that the countries that have achieved success in the production of this species, and whose companies are still active today, are those in which several favourable circumstances converge. Among the most important factors are the location of the plants in the natural distribution area of turbot, an adequate institutional climate, and the financial and technological capacity of the companies. [ABSTRACT FROM AUTHOR]

Copyright of Irrigation & Drainage is the property of Wiley-Blackwell 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.)

This special issue will help glean the diversity of challenges in decision-making in agriculture and the exciting opportunities for applying Operations Research and Big Data methodologies in this area. This special issue comprises a collection of contributions that define the state-of-the-art of decision-making support in agriculture, combining Operations Research methods and Big Data techniques to help solve many real-world problems in agricultural supply chains, land use, small-scale farming, livestock, precision agriculture, smart farming, sustainability, and environmental protection, among others. [Extracted from the article]

This paper applies agricultural big data into agricultural economics management in order to improve agricultural economics management effects and comprehensively analyzes criterion and trending, maturity and advancement, practice and advancement, usability and extension of the platform according to the structure of agricultural economics management system by using big data. Meanwhile the paper describes the actual application condition of agricultural economics management, designs tests to analyze the agricultural economics data and digs the effects according to the agricultural economics management data through the crawler technology, and explains the application effects in the agricultural economics management. Tests and studies prove the reliability of the method put in the paper. Core Ideas: The system structure chart classifies the decision‐making system according to its functions.The main body of the data anomaly inspection model is data.Data duplication mostly occurs in general information systems. [ABSTRACT FROM AUTHOR]

Copyright of Swiss Political Science Review is the property of Wiley-Blackwell 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.)

This special issue, brought together during a time of unprecedented global change, represents a unique collection of papers that shed light on the current and future significance of mycorrhiza‐forming fungi in the human world. Across this selection of papers, we explore the significance and potential of mycorrhizal fungi to contribute towards our achievement of global change goals of improved sustainability, food security and conservation as well as how we might best implement mycorrhizal knowledge and technologies to achieve these outcomes in modern societies. [ABSTRACT FROM AUTHOR]