Search Results (852)

Artificial Intelligence (AI) holds significant potential to enhance sustainable non-chemical agricultural methods (NCAM) by optimising resource management, automating precision farming practices, and strengthening climate resilience. However, its widespread adoption among farmers’ remains limited due to socio-economic, infrastructural, and justice-related challenges. This study investigates AI adoption among NCAM farmers using an Integrated Mechanism for Sustainable Practices (IMSP) conceptual framework which combines the Technology Acceptance Model (TAM) with a justice-centred approach. A mixed-methods design was employed, incorporating Fuzzy-Set Qualitative Comparative Analysis (fsQCA) of AI adoption pathways based on survey data, alongside critical discourse analysis of thematic farmers narrative through a justice-centred lens. The study was conducted in Tamil Nadu between 30 September and 25 October 2024. Using purposive sampling, 57 NCAM farmers were organised into three focus groups: marginal farmers, active NCAM practitioners, and farmers from 18 districts interested in agricultural technologies and AI. This enabled an in-depth exploration of practices, adoption, and perceptions. The findings indicates that while factors such as labour shortages, mobile technology use, and cost efficiencies are necessary for AI adoption, they are insufficient without supportive extension services and inclusive communication strategies. The study refines the TAM framework by embedding economic, cultural, and political justice considerations, thereby offering a more holistic understanding of technology acceptance in sustainable agriculture. By bridging discourse analysis and fsQCA, this research underscores the need for justice-centred AI solutions tailored to diverse farming contexts. The study contributes to advancing sustainable agriculture, digital inclusion, and resilience, thereby supporting the United Nations’ Sustainable Development Goals (SDGs). Full article

Against the backdrop of China’s large-scale collective forest tenure reform, examining the actual effects of land policies at the household level is crucial for advancing sustainable forestry. This study aims to comprehensively analyze the impacts of tenure formalization (forest tenure certificates) and market-based incentives (bamboo forest certification) on household production inputs and harvesting behavior by disentangling the objective implementation of policies from households’ subjective perceptions. Based on survey data from 1090 households in Fujian Province, China, and employing double-hurdle and Tobit models, this study reveals a central finding: households’ management decisions are driven more strongly by their subjective perceptions than by objectively held policy instruments. Specifically, perceived tenure security serves as a key incentive for increasing production inputs and adopting long-term harvesting plans, whereas the mere possession of forest tenure certificates exhibits limited direct effects. Similarly, households’ positive expectations about the market value enhancement from bamboo forest certification significantly promote investments and sustainable harvesting practices—an effect substantially greater than that of mere participation in certification. Consequently, this study argues that the successful implementation of land governance policies depends not only on the rollout of instruments but, more critically, on fostering households’ trust and positive perceptions of policies’ long-term value. Full article

Color grading of boiled shrimp is a critical factor influencing market price, yet the process is usually conducted visually by buyers such as middlemen and processing plants. This subjective practice raises concerns about accuracy, impartiality, and fairness, often resulting in disputes with farmers. To address this issue, this study proposes a standardized and automated grading approach based on image processing and artificial intelligence. The method requires only a photograph of boiled shrimp placed alongside a color grading ruler. The grading process involves two stages: segmentation of shrimp and ruler regions in the image, followed by color comparison. For segmentation, deep learning models based on Mask R-CNN with a Feature Pyramid Network backbone were employed. Four model configurations were tested, using ResNet and ResNeXt backbones with and without a Boundary Loss function. Results show that the ResNet + Boundary Loss model achieved the highest segmentation performance, with IoU scores of 91.2% for shrimp and 87.8% for the color ruler. In the grading step, color similarity was evaluated in the CIELAB color space by computing Euclidean distances in the L (lightness) and a (red–green) channels, which align closely with human perception of shrimp coloration. The system achieved grading accuracy comparable to human experts, with a mean absolute error of 1.2, demonstrating its potential to provide consistent, objective, and transparent shrimp quality assessment. Full article

Artificial Intelligence (AI) is widely recognized as a force that will fundamentally transform traditional chicken farming models. It can reduce labor costs while ensuring welfare and at the same time increase output and quality. However, the breadth of AI’s contribution to chicken farming has not been systematically quantified on a large scale; few people know how far current AI has actually progressed or how it will improve chicken farming to enhance the sector’s sustainability. Therefore, taking “AI + sustainable chicken farming” as the theme, this study retrieved 254 research papers for a comprehensive descriptive analysis from the Web of Science (May 2003 to March 2025) and analyzed AI’s contribution to the sustainable in recent years. Results show that: In the welfare dimension, AI primarily targets disease surveillance, behavior monitoring, stress detection, and health scoring, enabling earlier, less-invasive interventions and more stable, longer productive lifespans. In economic dimension, tools such as automated counting, vision-based weighing, and precision feeding improve labor productivity and feed use while enhancing product quality. In the environmental dimension, AI supports odor prediction, ventilation monitoring, and control strategies that lower emissions and energy use, reducing farms’ environmental footprint. However, large-scale adoption remains constrained by the lack of open and interoperable model and data standards, the compute and reliability burden of continuous multi-sensor monitoring, the gap between AI-based detection and fully automated control, and economic hurdles such as high upfront costs, unclear long-term returns, and limited farmer acceptance, particularly in resource-constrained settings. Environmental applications are also underrepresented because research has been overly vision-centric while audio and IoT sensing receive less attention. Looking ahead, AI development should prioritize solutions that are low cost, robust, animal friendly, and transparent in their benefits so that return on investment is visible in practice, supported by open benchmarks and standards, edge-first deployment, and staged cost–benefit pilots. Technically, integrating video, audio, and environmental sensors into a perception–cognition–action loop and updating policies through online learning can enable full-process adaptive management that improves welfare, enhances resource efficiency, reduces emissions, and increases adoption across diverse production contexts. Full article

Joint ventures (JVs) are an example of a government facilitated arrangement geared towards water allocation reform (WAR) designed to improve the lives of emerging farmers through participation in the agricultural economy in South Africa and other emerging countries around the world with segregated agricultural sectors. This paper will qualitatively analyse semi-structured, in-depth interviews with emerging farmers and key institutional actors to investigate the extent that JVs produced perceptible socio-economic benefits for emerging farmers in the Eastern Cape, South Africa. Socio-economic benefits are operationalised across five types of capital assets (human, natural, financial physical, social). The paper posits that an analysis of the socio-economic benefits derived from emerging farmers in JVs can be useful for informing the governance and institutional arrangements geared towards accelerating equity imperatives. The findings of the analysis, which is conducted using a sustainable livelihoods framework (SLF), reveal that factors such as level of education, formal training in agriculture, and power differentials within the partnership arrangements determine whether JVs produce tangible benefits for emerging farmers. This paper recommends the SLF be used in conjunction with concepts, tools, and modes of analysis used in other fields to address differential conditions, assets, and strategies of differentiated groups. Full article

Climate change has intensified extreme weather events worldwide, such as droughts, which have severely affected South Africa’s rangelands by reducing productivity and increasing livestock mortality. This study aimed to investigate variability in grazing capacities and stocking rates with respect to land tenure, long-term grazing capacity norms, field surveys, and farmer perceptions during and post-drought conditions in the three biomes in South Africa. In-person interviews and field surveys were conducted with 85 farmers from the Grassland (n = 25), Savanna (n = 35), and Nama-Karoo (n = 30) biomes and vegetation condition was surveyed during or after the drought. Grazing capacity did not differ significantly across land tenure systems in the Savanna biomes (p > 0.05), but significant differences were found in the Grassland and Nama-Karoo biomes (p< 0.05). Over > 60% of farmers in the Nama-Karoo biome rated their rangeland condition as poor because of the drought, and field surveys showed that grazing capacities were four times lower than the national recommended grazing capacity norm. Considering the high inter-annual variability in vegetation productivity and differences in farmers’ perceptions based on local knowledge, it is recommended that the Department of Agriculture adopt flexible grazing capacity ranges in the regulations of the Conservation of Agricultural Resource Act 43 of 1983. Full article

This study investigates the economic viability of a new composting station dedicated to the recycling of date palm by-products. A field experiential analysis was performed in the Figuig Oasis (Morocco), providing the first evidence on the agronomic quality of the compost. The compost produced from date palm by-product was compared to cattle manure and unamended soil and can be considered as a good-quality amendment, demonstrating its ability to enhance soil fertility. Second, a socio-economic survey was conducted to explore farmers’ perceptions and adoption of sustainable agricultural practices. A total of 201 farmers out of 450 farmers registered in Figuig’s municipal administration were surveyed. In terms of fertilisation, farmers preferred locally produced organic fertiliser when available in order to improve soil organic matter content and reduce dependence on chemical inputs. The selling price for the compost was set at 0.14 EUR/kg to reflect the current market price for compost and the willingness of about 38% of the farmers surveyed to buy it. Third, a detailed cost/benefit analysis was performed, with a breakdown of the station’s operational and investment expenses. This illustrates the minimum scale needed to generate a viable business model. Financial projections show that increasing production capacity from 350 tonnes/year to 3500 tonnes/year reduces unit production costs while increasing profits. As illustrated by the application of the Ecocanvas framework, the socio-economic analysis reveals the potential to generate positive environmental, economic, and social impacts, as the circular approach could be replicable and scalable in similar oases agro ecosystems. Full article

With so many people becoming distanced from the world of agriculture, what is the best way to bridge the knowledge gap? Studies have shown that video messaging could be a key factor in lessening this gap. This study assessed the perceptions of young adults about animal agriculture and the effectiveness of emotional and cognitive videos featuring local farmers and industry experts to alter perception and build trust in the beef industry. An invitation to participate was sent to 10,000 Auburn University students, and responses were closed after 500 complete responses were received. Participants were directed to a Qualtrics (2022) survey with a 5-point Likert scale and open-ended questions. The questionnaire included opinions on animal welfare, the diet/health of red meat consumers, and environmental/sustainability aspects of the beef industry. After viewing one emotional and one cognitive video, each lasting four minutes, participants retook the survey. Data were analyzed using paired t-tests in SPSS (Version 28). Results showed participants’ views improved by 82% after watching the videos. ATLAS (Series 9) was used to code key positive and negative words in open responses. Participants reported a stronger preference for the emotional video compared to the cognitive video (190 vs. 99, p < 0.05). However, because the videos were always shown in the same order, this finding should be interpreted with caution, as order effects may have influenced participants’ responses. Full article

Agriculture is under increasing pressure to change practices and technologies due to climate change, market forces and community pressures. The strongest influences on farmers’ adoption of practices and technologies are their perceptions of the relevant benefits and costs. Differences in the fine-grained characteristics of farm systems can lead to diversity in farmers’ perceptions. Where this is the case, the rate of adoption is best increased through product development rather than promotion. The extent to which differences in the characteristics of farm systems translate into diversity in farmers’ perceptions of innovations has rarely been explored. Our purpose was to investigate whether the diversity in farmers’ perceptions of practices correlated with fine-grained differences in the characteristics of their farm systems using survey data on four management practices used by livestock farmers in New Zealand. We found that the diversity in farmers’ perceptions did correlate with subtle differences in a variety of characteristics of farm systems. This result has important implications for research, extension and policy. Full article

Pastoral livelihoods in Sub-Saharan Africa are under an increasing threat from climate change with arid and semi-arid lands (ASALs) being especially vulnerable. Climate-smart agriculture (CSA) is widely promoted as a strategy for enhancing resilience among smallholder livestock farmers by improving productivity, increasing farmers’ incomes and strengthening adaptive capacity. However, CSA adoption rates among pastoralists remains low. While existing studies emphasise socio-economic and institutional factors, this study explores the often-overlooked behavioural dimensions, attitudes, beliefs, and perceptions, which critically influence adaptation decisions. Guided by the theory of planned behaviour (TPB), this study investigates the behavioural drivers of CSA adoption among 737 livestock farmers in Kenya’s ASALs. Using ordered probit regression and structural equation modelling–confirmatory factor analysis (SEM-CFA), the results reveal that attitudes and perceived behavioural control are significant predictors of farmer intention to adopt CSA practices, with perceived behavioural control being the most influential predictor. Farmers with a positive attitude and confidence in their ability to implement CSA practices are more likely to adopt them. The study findings suggest that efforts to promote CSA adoption should prioritise transforming attitudes and building practical confidence by increasing exposure to demonstration farms and implementing awareness-raising initiatives within pastoral communities. Full article

Livestock plays a crucial role in the global food system, not only as an important source of nutrients but also as a means of economic and social well-being. It constitutes a critical parameter of agricultural production in Mediterranean countries, with the majority of farms still having a relatively small herd size and depending largely on family labor. The purpose of this study is to record and evaluate the perceptions of livestock farmers in the Region of Western Macedonia, Greece (which represents a typical paradigm of an agricultural region), regarding the future prospects and the actions taken to ensure the sustainability of their farms. The research is based on a survey carried out from May to October, 2024, on ruminant farmers. Selective breeding and crossbreeding with higher-productivity breeds are some of the genetic improvements that are generally applied to increase productivity and were, therefore, investigated in this study. Through gradual crossbreeding, farmers attempt to improve the composition of their initial herds by incorporating high-productivity traits—although without officially participating in any recognized improvement program. This increases the risk of extinction for indigenous breeds, which are abandoned for use by the farmers. Our results also showed that most livestock farms derive from inheritances, with many livestock farmers practicing grazing mainly in mountainous areas and still rearing indigenous breeds. From the farmers’ point of view, more information and education regarding market conditions are needed. Furthermore, the sustainability of farms largely depends on subsidies, which are crucial due to difficulties in economic viability, particularly in mountainous areas. Encouraging the support of market differentiation and public awareness for the nutritional value of products derived from local breeds may serve as a promising agrobiodiversity conservation strategy. Full article

The reuse of treated wastewater (TWW) offers a sustainable solution for water management in agriculture, particularly in arid regions like Saudi Arabia. However, its success depends on farmers’ acceptance, influenced by perceptions of economic benefits, social acceptability, environmental impacts, and health risks. This study surveys 391 farmers across five regions in Saudi Arabia to assess their attitudes toward TWW reuse in irrigation, exploring how advanced wastewater treatment technologies can improve acceptance. Results show that 65% of farmers use TWW, with usage peaking at 72% in Al-Ahsa and Qatif, driven by water scarcity and lack of alternatives. While 78% are satisfied with TWW, concerns persist regarding pests, consumer acceptance, health risks, and soil quality. Advanced technologies can mitigate these issues by enhancing water quality and safety. The highest positive impact of the use of TWW in irrigation from was the impact on productivity, reduction in the cost of fertilizers and savings in the cost of water abstraction. With only 57% of farmers receiving extension services, integrating education on these technologies could further boost confidence. This study highlights key acceptance factors, underscoring the need for technological and educational interventions to promote sustainable TWW reuse in agriculture. Full article

Indigenous chickens are raised in various rural areas in large quantities throughout Sudan. They must be transported over various distances to centralized slaughterhouses or for other purposes. In this study, we examined indigenous chicken farmers’ perceptions of chicken welfare during transportation. A total of 160 indigenous chickens (80 control + 80 transported with their owners) participated in this study. Our findings revealed that 69% and 88% of the farmers indicated that they were not knowledgeable about animal rights and animal welfare, respectively. The majority of the farmers (86%) reported that they were unaware of animal protection laws. Furthermore, the transported chickens showed a significantly long tonic immobility duration (p < 0.05) compared to the control chickens. Moreover, low pecking behavior was significant (p < 0.05) in transported chickens compared to control, particularly on day one of the experiment. In addition, the mean values of glucose, TWBCs, monocytes, basophils, eosinophils, H/L ratio, Hb, MCHC, and PLT were significantly higher (p < 0.05) in transported chickens compared to the controls. In addition, TNF-a, IL-1β, IL-2, IL-4, IFN-γ, IL-17, as well as ROS, MDA, cortisol, glucose, and total cholesterol were significantly higher (p < 0.05) in transportation chickens compared to control, while CAT, GSH, ATP, and SOD were significantly lower (p < 0.05) in transportation chickens compared to control. We conclude that the traditional transportation of indigenous Sudanese chickens affected their welfare, and this was associated with farmers’ low perceptions of chicken welfare, and stress-induced blood profile changes. Full article

In countries facing physical water shortages, the safe use of treated wastewater can increase agricultural yields. However, farmers’ willingness to reuse water in agriculture is very low. Therefore, the purpose of this study is to determine the factors that influence 217,215 Iranian farmers who use treated wastewater to adopt safe irrigation practices. This study, which developed the Theory of Planned Behavior (TPB) by including risk perception (RP) and knowledge factors, is a groundbreaking endeavor in the field of the safe use of treated wastewater at the farm level in Iran and around the world. The final model analysis was conducted based on structural equation modeling (SEM). The findings reveal that attitudes, perceived behavioral control (PBC), RP, and knowledge significantly influence farmers’ behaviors regarding safe wastewater use, while subjective norms did not impact intentions. The subjective norm in this study includes the perceived social pressure by farmers (through family, friends, the farming community, and local authorities) to perform or not perform safe behavior in using treated wastewater for irrigation. Notably, PBC was the most important component in the original TPB model, because intention has a beneficial impact on behavior. In the extended model, knowledge and risk perception emerged as critical elements. Therefore, intervention policies should prioritize enhancing farmers’ knowledge, risk perception, and perceived behavioral control to promote safe treated wastewater usage. This study offers valuable insights for developing countries in agricultural practices. Full article

Lebanon’s cereals production holds historical importance in the Bekaa region, which has served as Lebanon’s agricultural heartland for centuries. Today, this vital area for food security faces environmental challenges that threaten the viability of its cereals farming sector. This study examines the current state of agricultural resources and territorial features of cereals through the lens of farmers and the local community using Perception-Based Regional Mapping (PBRM). The resulting maps were digitized and analyzed using QGIS to highlight spatial disparities across the region. The study was conducted during the summer of 2023. A total of 36 maps were developed with local farmers who first identified the areas relevant to cereals cultivation, and then reflected the spatialized perceptions covered 93% of the total study area and delineated it into distinct zones based on eight criteria identified by farmers: water availability, water quality, type of water resources, soil type, soil fertility, agricultural productivity, landform, and size of arable land. The primary cereal crops grown in the region are wheat, barley, and corn, with wheat dominating cultivation. Farmers use both traditional and mechanized methods, apply nitrogen-based fertilizers and herbicides, and rely on rainfall or limited irrigation. The resulting maps highlighted the distinct agricultural zones within the basin, of which 1030 km² (74%) were identified as appropriate for cereals cultivation. The findings underscore the value of local knowledge in identifying environmentally and economically favorable zones for cereals production, and contribute to the design of targeted, region-specific policies and interventions aimed at enhancing the resilience of cereals farming systems in the Bekaa—especially in light of ongoing socio-environmental pressures. Full article