Search Results (76)

The integration of digital twin technology with robotic automation holds significant promise for advancing sustainable horticulture in controlled environment agriculture. This article presents DigiHortiRobot, a novel AI-driven digital twin architecture tailored for hydroponic greenhouse systems. The proposed framework integrates real-time sensing, predictive modeling, task planning, and dual-arm robotic execution within a modular, IoT-enabled infrastructure. DigiHortiRobot is structured into three progressive implementation phases: (i) monitoring and data acquisition through a multimodal perception system; (ii) decision support and virtual simulation for scenario analysis and intervention planning; and (iii) autonomous execution with feedback-based model refinement. The Physical Layer encompasses crops, infrastructure, and a mobile dual-arm robot; the virtual layer incorporates semantic modeling and simulation environments; and the synchronization layer enables continuous bi-directional communication via a nine-tier IoT architecture inspired by FIWARE standards. A robot task assignment algorithm is introduced to support operational autonomy while maintaining human oversight. The system is designed to optimize horticultural workflows such as seeding and harvesting while allowing farmers to interact remotely through cloud-based interfaces. Compared to previous digital agriculture approaches, DigiHortiRobot enables closed-loop coordination among perception, simulation, and action, supporting real-time task adaptation in dynamic environments. Experimental validation in a hydroponic greenhouse confirmed robust performance in both seeding and harvesting operations, achieving over 90% accuracy in localizing target elements and successfully executing planned tasks. The platform thus provides a strong foundation for future research in predictive control, semantic environment modeling, and scalable deployment of autonomous systems for high-value crop production. Full article

Groundwater plays an important role in areas facing water scarcity, which can cause many problems if poorly managed. In Northern Cyprus, in the Güzelyurt region, where agriculture is thriving, excessive and inappropriate groundwater use has caused a sharp decrease in water levels and electrical conductivity in many coastal areas. This study explores this problem using system dynamics tools designed to analyze feedback loops and causal links. The qualitative system dynamics approach is employed to investigate complex systems by focusing on structural and behavioral patterns through qualitative elements such as feedback loops, causal relationships, and system archetypes, rather than relying solely on numerical data. For this purpose, group model building is used, for which a basic model is built using library studies, and then the model is developed and improved through numerous interviews and meetings held with policymakers, farmers, soil and water managers, university professors, and representatives from the local community. The study examines water management practices, including transferring water from Turkey to Northern Cyprus and allocating a portion for agricultural use in Güzelyurt. It also explores agricultural strategies and the employment of advanced irrigation methods. In the tourism and urban consumption sectors, raising public awareness and educating citizens about water scarcity linked to climate change are highlighted as essential measures in promoting sustainable water usage. Full article

Over the past decade, the Chongqing land ticket model has played a pivotal role in the market-oriented reform of rural land factors and serves as a representative practice of the TDR program in China. This paper constructs a systematic evaluation framework from two perspectives—policy effectiveness and citizen feedback—to comprehensively understand the policy effect of this model. The study employs methods of policy texts bibliometrics and content analysis based on big data. The results indicate that the effectiveness of land ticket policies exhibit significant fluctuations, with peaks aligning with milestones in the model’s development. Policy measures are well-aligned with the goals set forth. However, policymakers in Chongqing have historically focused more on institutional construction within the land ticket model, only recently shifting attention to the protection of farmers’ rights and interests. This imbalance may have led to potential risks regarding the loss of farmers’ property rights. The analysis of citizen feedback from the online space further took into account the impact of policy content on its audience (farmers), revealing that shortening the compensation payment time rather than increasing the compensation amount is the most common and critical demand among farmers. This underscores the urgent need for a policy-related response from the government to meet farmer’s demands for “procedural justice”. Our conclusions address a gap in the existing literature by integrating policy text analysis with public opinion, thereby offering referential insights into understanding the evolutionary process, policy features, and implementation effects of TDR program in China. Full article

Desertification, accompanied by the loss of perennial grasses and bush encroachment, affects more than 10% of the world’s drylands, thereby placing increasing pressure on rangelands and farmers’ livelihoods. In Namibia, rangeland desertification is exacerbated by external shocks such as droughts, market changes, and new regulatory frameworks that have led to profound social and ecological changes within this tightly coupled social–ecological system (SES). In this context, the interrelationship among system components, drivers, and external factors, as well as the impact of strategies to halt desertification, remain poorly understood. The present study employed a retrospective mixed-methods approach to investigate the drivers of desertification on Namibia’s freehold farms by applying the social–ecological trap (SET) concept. Our approach combined remote sensing methods with semi-structured interviews and a literature review. The aim was to decipher the underlying processes and self-reinforcing feedback loops and to identify associated changes in the social and ecological subsystem. Our results revealed that inadequate grass availability, coupled with income deficits, serves as a pivotal catalyst for rangeland desertification, perpetuating a self-reinforcing feedback loop. To avoid or mitigate the effects of ecological regime shifts and to help farmers escape the SET of desertification, it will be necessary to implement changes in the dominant feedback loops through long-term risk mitigation strategies, such as rangeland restoration measures, as well as on- and off-farm income diversification. These strategies will provide a foundation for subsequent research on effective long-term mitigation strategies to prevent further rangeland desertification and to secure the livelihoods of farmers. Full article

Risk management and resilience of agriculture are among the most important issues in the ongoing discussion on the shape of the Common Agricultural Policy (CAP). Farming systems face various risks that increase their vulnerability, which necessitates the strengthening of their resilience. This raises critical questions whether CAP policies adequately support the resilience of farming systems in addressing these challenges. The study investigates the resilience of the Polish fruit and vegetable farming system within the context of the CAP. Employing a mixed-methods approach that includes interviews and stakeholder workshops, the research identifies critical risks such as market volatility, climate change, labor shortages, or international competition. The study reveals that while farmers adopt various coping strategies, existing CAP measures predominantly support robustness, often neglecting adaptability and transformability, which are essential for addressing long-term risks. Stakeholder feedback highlights bureaucratic inefficiencies, limited access to resources for innovation, and an overemphasis on short-term interventions. Recommendations emphasize the need for policy adjustments to foster long-term adaptability through enhanced vertical and horizontal integration, support for innovation, and knowledge transfer. Under future scenarios, policy priorities vary but consistently call for resilience-focused reforms. These findings underscore the benefits of integrating resilience-thinking frameworks into agricultural policy to enable sustainable development and competitiveness of farming systems. Full article

Optimal nutrient management is crucial for ensuring food security and agricultural sustainability. While technological innovation in nutrient management has been emphasized, the widespread adoption of such technologies remains a significant challenge, particularly in smallholder farming economies. This study presents a case of farmer-participation nutrient management (FPNM), where smallholder farmers are engaged through dialogue and their feedback is integrated into technology optimization and implementation strategies. A multi-site experiment was conducted on 71 fields, where 36 fields were treated with farmer’s customary nutrient management (FCNM) and FPNM, while the remaining 35 fields received only FCNM. The results showed that compared to FCNM, the FPNM increased grain yield by 10.9% and reduced chemical fertilizer inputs by 24.7%, including nitrogen (N) fertilizer by 10%, phosphate (P) fertilizer by 21%, and potassium (K) fertilizer by 25%. The fertilizer cost was reduced by 15.6% and the net income increased by 14.5% under FPNM. Additionally, fertilizer use efficiency increased by 17.1% for N, 37.5% for P, and 33.7% for K. These improvements were primarily achieved through farmers modifying their fertilizer formulas and increasing the application of organic fertilizer. Importantly, the participation-based management approach was particularly valuable as it effectively incorporated farmers’ management practices and acceptance willingness, making sustainable nutrient management techniques highly applicable in regions with widespread smallholder farming operations. Full article

This article aims to investigate the mechanisms of farmer professional cooperative (FPC) operations and to understand their role in promoting low-carbon production among small-scale farmers in China. Agricultural carbon emissions account for 17% of the total carbon emission in China; therefore, reducing agricultural carbon emissions is important for China to achieve carbon neutrality. Small-scale farmers face many obstacles in achieving the low-carbon transition of agriculture, which therefore makes them a priority target for the implementation of low-carbon production systems in China. Participating in FPCs is an effective support mechanism for them to conduct low-carbon production. In this paper, a system dynamics model is used to simulate the methods of how FPCs assist small-scale farmers to adopt low-carbon production practices within the framework of China’s carbon trading system, through the year 2030. After attending the carbon transaction system, the agricultural carbon emissions are anticipated to decline by 10.21%, and FPCs’ net income could increase by 11.85%. In a scenario where the price of their agricultural products increases, the reduction of carbon emissions and the increase of FPCs’ net income will be beneficial. Under the operation of FPCs, the greatest profits will be generated from trading, and these will be distributed to small-scale farmers, thereby creating a positive feedback loop between carbon transactions and FPC operations. This article seeks determine the potential outcomes that can serve as a basis for informed decision-making within relevant policy-making agencies regarding agricultural carbon transactions by simulating the potential benefits to both small-scale farmers and FPCs from the integration of a carbon trading system. Full article

Integrating Artificial Intelligence (AI) and Extended Reality (XR) technologies into agriculture presents a transformative opportunity to modernize education and sustainable food production. Traditional agriculture training remains resource-intensive, time-consuming, and geographically restrictive, limiting scalability. This study explores an AI-driven Digital Twin (DT) system embedded within a gamified XR environment designed to enhance decision-making, resource management, and practical training in viticulture as well as woody crop management. A survey among stakeholders in the viticultural sector revealed that participants are increasingly open to adopting Virtual Reality (VR) combined with AI-enhanced technologies, signaling a readiness for digital learning transformation in the field. The survey revealed a 4.48/7 willingness to adopt XR-based training, a 4.85/7 interest in digital solutions for precision agriculture, and a moderate climate change concern of 4.16/7, indicating a strong readiness for digital learning transformation. Our findings confirm that combining AI-powered virtual educators with DT simulations provides interactive, real-time feedback, allowing users to experiment with vineyard management strategies in a risk-free setting. Unlike previous studies focusing on crop monitoring or AI-based decision support, this study examines the potential of combining Digital Twins (DTs) with AI-driven personal assistants to improve decision-making, resource management, and overall productivity in agriculture. Proof-of-concept implementations in Unity and Oculus Quest 3 demonstrate how AI-driven NPC educators can personalize training, simulate climate adaptation strategies, and enhance stakeholder engagement. The research employs a design-oriented approach, integrating feedback from industry experts and end-users to refine the educational and practical applications of DTs in agriculture. Furthermore, this study highlights proof-of-concept implementations using the Unity cross game engine platform, showcasing virtual environments where students can interact with AI-powered educators in simulated vineyard settings. Digital innovations support students and farmers in enhancing crop yields and play an important role in educating the next generation of digital farmers. Full article

Data from post-mortem inspections conducted using official controls on the meat production of slaughtered pigs are generally considered valuable for identifying herd health issues and ensuring meat safety. However, several studies highlighted that a multi-stage assessment of lung changes would provide more useful information on animal health than the implemented binary (yes/no) recording. For this purpose, a new scheme was developed and subsequently used by trained official veterinarians at four slaughterhouses in Austria. Implementation of the multi-stage assessment was carried out in parallel with the conventional assessment, and data collected from both schemes were analyzed and compared to evaluate effectiveness. The analysis of the data (n = 20,345) showed that the most common alteration was low-grade (28.4%), followed by moderate-grade (11.3%,) and then high-grade pneumonia (5.2%). In the case of pleurisy, 88.9% of the carcasses showed no alterations of the pleura, and 11.1% had pathological changes (low-grade pleurisy = 4.7%, moderate-grade pleurisy = 2.7%, high-grade pleurisy = 3.7%). Analysis of the results showed a strong heterogeneity of the frequency of alterations between the batches reflecting various underlying animal health issues. Among the influencing factors, the origin of the pigs had the greatest influence. The project demonstrated that the new evaluation can be carried out easily with no extra time effort once staff are trained and the technological platform for reporting is adapted. The more detailed information ensures more useful feedback is provided to the farmers and supervising veterinarians, thereby ensuing animal welfare and contributing to sustainable, improved animal husbandry. Full article

A pilot study with 18 dairy farms in recharge areas of five vulnerable drinking water abstractions in the Dutch province of Overijssel aimed to reduce nitrate leaching risks to the upper meter of groundwater through improved farm management. The pilot employed a voluntary, mutual gain approach, promoting measures that enhanced both nutrient efficiency and groundwater quality. Over the research period (2011–2017), nitrogen surpluses on the soil balance declined significantly from 153 to 96 kg N per ha per year, achieving the target of 100 kg N per ha per year. Despite this decline, average nitrate concentrations in the upper meter of groundwater fluctuated annually, showing no significant reduction in grassland but a noticeable decrease in maize. Economic evaluation showed that relative fodder profitability (RFP) increased over time, suggesting positive financial effects of implemented measures, as acknowledged by participating farmers. However, the adoption of measures perceived as complex or less financially rewarding remained limited, highlighting the challenges of relying solely on voluntary implementation. The absence of farm-specific feedback on nitrate leaching emerged as a critical limitation, emphasizing the need for additional monitoring tools, such as residual soil nitrogen assessments, to provide actionable insights at the farm or field level. These findings underscore the potential for further reducing nitrate leaching through enhanced feedback systems, precise execution of measures, and collaborative efforts integrating farmer expertise and scientific knowledge. Full article

In recent years, the global economy has experienced significant shifts, leading to a trend of consumption downgrading. Amid economic pressures and uncertainties, consumers are increasingly turning to cost-effective shopping methods. The COVID-19 lockdowns further accelerated the growth of e-commerce platforms, presenting both opportunities and challenges for sales. Electronic commerce has played a crucial role in enhancing the sales of agricultural products with regional characteristics in China, thereby opening new channels for farmers. This article utilizes tangerines, particularly popular in Zhejiang Province, as a case study to explore e-commerce reviews and assist merchants in delivering more satisfactory products. The analysis of tangerine reviews revealed that customers primarily focused on the taste, service, quality, and price. By applying the latent Dirichlet allocation (LDA) topic model, comments were categorized into four themes: ‘quality’, ‘service’, ‘price’, and ‘flavor’, with key terms identified for each theme. Through sentiment analysis using SnowNLP and bidirectional encoder representations from transformers (BERT), it was found that online shoppers generally expressed positive sentiment toward tangerines. However, there was also some negative feedback. These findings are of paramount importance for businesses aiming to meet consumer demands. The study acknowledges certain limitations including the reliability of data mining and the accuracy of Chinese corpus analysis. Future research could benefit from employing more precise language models to enhance the analysis, ultimately improving the consumer shopping experience and aiding businesses in service improvement. Full article

Global herbicide-resistant weed populations continue rising due to selection pressures exerted by herbicides. Despite this, herbicides continue to be farmers’ preferred weed-control method due to cost and efficiency relative to physical or biological methods. However, weeds developing resistance to herbicides not only challenges crop production but also threatens ecosystem services by disrupting biodiversity, reducing soil health, and impacting water quality. Our objective was to develop a simulation model that captures the feedback between weed population dynamics, agricultural management, profitability, and farmer decision-making processes that interact in unique ways to reinforce herbicide resistance in weeds. After calibration to observed data and evaluation by subject matter experts, we tested alternative agronomic, mechanical, or intensive management strategies to evaluate their impact on weed population dynamics. Results indicated that standalone practices enhanced farm profitability in the short term but lead to substantial adverse ecological outcomes in the long term, indicated by elevated herbicide resistance (e.g., harm to non-target species, disrupting natural ecosystem functions). The most management-intensive test yielded the greatest weed control and farm profit, albeit with elevated residual resistant seed bank levels. We discuss these findings in both developed and developing-nation contexts. Future work requires greater connectivity of farm management and genetic-resistance models that currently remain disconnected mechanistically. Full article

Urban agriculture (UA) is being increasingly embraced to improve access to healthy food and enhance urban aesthetics. This study explores the framing of urban agricultural knowledge disseminated via social media through a coding framework and content analysis of eleven clips from the Sustainable Agriculture Foundation (Thailand) on Facebook and YouTube. It also examines factors influencing satisfaction using the Elaboration Likelihood Model (ELM) and proposes practical communication strategies. A survey of 200 experienced viewers was conducted and analyzed using SmartPLS 4.0. The findings from both analyses were used to develop communication strategies. Key results showed that leading farmers framed their messages by explaining actions, reasoning, outcomes, and associated health benefits. Clear, easy-to-understand messages drive higher engagement on social media by being accessible, memorable, emotionally appealing, and shareable. Source credibility and information quality significantly influence satisfaction with urban agriculture. Including self-efficacy as a moderating factor, along with source credibility and interactivity, also significantly impacts knowledge satisfaction. An integrated approach to promoting source credibility, information quality, interactivity, accessibility, and self-efficacy in urban agriculture should focus on community-led initiatives, feedback loops, and collaboration with local governments and schools, particularly in sustainability efforts. Full article

European policies on climate change (CC), food security (FS), and biodiversity (BD) represent the EU’s commitment to a sustainable agri-food system, highlighting the interdependence between environmental health and food security. By analyzing key drivers and indicators, the present study evaluates the effectiveness of existing measures and identifies gaps in the policy framework. A Scoping Group activity facilitated dialogue between policymakers, industry, and farmer representatives to gather feedback and strengthen the data–policy link. The results highlight progress in areas such as promoting sustainable agriculture and biodiversity, while pointing out unresolved issues like the challenges faced by smallholder farmers. The study emphasizes the need for real-time monitoring tools and tailored solutions to address the complexities of the agri-food system. It also encourages the integration of emerging technologies, such as IoT and AI, to enhance the sustainability of agricultural practices. Ultimately, the findings call for a landscape-specific approach to maximize biodiversity gains, mitigate climate impacts, and ensure food security within the broader context of the EU’s ecological and socio-economic challenges. Full article

As part of the European Green Deal, the EU has recognised that there is a need to increase organic farming as well as improve animal welfare standards. The PIGLOW app was developed with these goals in mind and allows free-range and organic pig farmers to perform welfare assessments (WAs) of their pigs. The results of each WA contain automated feedback and benchmarking information. The objective of this two-year longitudinal study was to determine whether regular use of the app helps farmers improve pig welfare. Farmers (n = 12) were asked to perform 6 WAs for finisher pigs with the app. At the beginning and end of the study, a researcher visited each farm and performed a detailed WA to determine the welfare status of the pigs at both moments. Farmers (n = 11) also filled out surveys about their opinions on pig welfare and the PIGLOW app. The welfare results did not support that the use of the PIGLOW app had an overall effect on pig welfare, but suggested a positive effect on some specific welfare aspects. Farmers indicated that they found the app easy to use and found most of its elements very useful. However, when asked about the specific influence of the app on their opinions on pig welfare and the welfare of their pigs, they indicated that the app only had small effects. Responses suggested that the app could likely be more useful to new farmers who still have more to learn about animal welfare. Full article