Search Results (172)

In horticulture, a delayed shipment or failed food-safety check can rapidly cut off market access, yet strategic risk management remains weakly developed. This paper examines how artificial intelligence (AI), agritech, and business model innovation can reduce uncertainty and strengthen resilience across horticultural value chains. Using a structured conceptual review, it integrates six literature streams: agricultural risk, supply-chain risk management, strategic and enterprise risk management, farming-system resilience, digital innovation and AI, and business model innovation. The synthesis connects risk exposure to five digital functions (sensing, predicting, verifying, coordinating, and deciding) to dynamic capabilities, business model and governance conditions, and resilience outcomes. It develops five connected propositions concerning the conversion of information into action, credible digital verification, adoption conditions, market-access resilience, and business-model-enabled shared capability. Market-access resilience is introduced as the capacity to maintain or restore verified quality, food-safety assurance, traceability, compliance, and buyer relationships during disruption. The propositions are theoretically derived and empirically informed, providing a foundation for further empirical validation, particularly of the complete market-access and business model relationships. The findings imply that digital technologies contribute to resilience only when supported by coordinated action, sound data governance, human oversight, and viable, inclusive delivery models. Full article

The aim of this study was to identify the challenges and opportunities faced by farmers in the sheep milk value chain and their impact on business activities. Techno-economic data were collected from 24 sheep farms with different capacities, management systems, and market connectivity in the Thessaly region. The results of the study show that a series of factors influence the financial situation of the farms, arising from both internal (e.g., management, performance) and external (e.g., market prices, regulations) factors. Efficient farms can reduce production costs and increase profitability, while cooperative members generally enjoy a better position than independent farmers in terms of feed costs and milk production, strengthening their bargaining power. It should be noted that, given the exploratory sample size (n = 24), the between-group differences reported here should be interpreted as indicative trends rather than statistically confirmed findings. The results were analyzed through a full techno-economic analysis, calculating key indicators such as milk production costs, net profit and income of agricultural households. Additionally, a sensitivity analysis was conducted to assess the impact of uncertainty in key input parameters (milk price, feed costs) on the net profit of each farm. Tailoring strategies to the specific characteristics of each farm can significantly enhance profitability. Further research is needed to capture the views of all actors in the value chain. Full article

Digital transformation is frequently argued to improve how agricultural businesses compete, coordinate, and capture value in markets, yet evidence remains limited of how regional innovation ecosystems shape farms’ digital readiness and how this readiness translates into accounting-relevant outcomes. This study addresses that gap by linking regional innovation capacity, observed farm digital readiness, and accounting performance within a single regional analytical framework. Using cross-sectional data for 180 EU NUTS2 regions (2023), we estimate a moderated mediation model with formative constructs based on harmonized secondary indicators. This study is original in shifting the analysis from the farm or firm level to the regional scale and in operationalizing digital readiness through observable uptake of precision technologies, robotics, livestock-management machinery, internet access, and management information systems. Regional innovation capacity is positively associated with farmers’ digital readiness, and digital readiness is positively associated with accounting performance in the baseline specification. The indirect pathway from innovation capacity to accounting performance via digital readiness is significant, consistent with digital readiness acting as a transmission channel through which ecosystems relate to measurable economic outcomes. Managerial composition conditions these relationships: the share of managers under 40 weakens both the ecosystem-to-digital link and the digital-to-performance link, while female managerial share shows only marginal moderation of the first stage and no significant moderation of the second. The findings provide a basis for future multilevel research and place-based policies and advisory actions aimed at strengthening digital uptake where regional innovation capacity is weaker. Full article

Agriculture faces climate change, price volatility, and policy uncertainty. Because traditional agricultural insurance instruments often prove insufficient to address these risks, the Common Agricultural Policy (CAP) has introduced additional risk-management instruments such as mutual funds. The paper applies the Business Model Stress Testing framework to assess the robustness and adaptability of a mutual fund business model. The sustainability of the mutual model depends on building trust, enabling legislation, ensuring transparent governance, diversifying funding sources, agri-tech and alignment with support measures are the most critical factors. Within the current institutional framework, the lack of cooperative tradition and management capacities, the application of mutuals is hardly feasible for Croatia. Instead of a collective risk-sharing instruments approach, the paper suggests supporting the cooperation of stakeholders from different risk layers in harnessing digital technology and AI in developing enhanced agricultural risk management. Even though such an approach could be fuzzy too, it could bring impact faster and even contribute to the relevancy of the mutual model. The paper contributes to the literature on sustainable business model innovation in agriculture that enhances farm resilience in high-risk environments. This exercise might have policy implications for transition economies seeking to operationalize innovative tools in climate risk management and rural development. Full article

Integrated Pest Management (IPM) is a well-established framework for agricultural crop protection. IPM has typically been represented as a pyramid of practices, beginning at the base with agronomic and cultural approaches and gravitating upwards towards chemical plant protection products. However, this representation is an insufficient description of IPM adoption at the farm level as it cannot incorporate the many challenges faced by farmers and growers. This paper presents an alternative approach to contextualize horticultural IPM based on a sample of commercial vegetable and fruit growers from the Republic of Ireland (N = 45), based on an existing model. This model incorporates the management, business, and sustainability aspects influencing IPM adoption. Utilization of the model on data collected from growers through a series of semi-structured interviews contributed to a. a comprehensive exploration of the type of IPM tools being used and b. contextualized analysis of the data with the intention of capturing grower perspectives. The findings highlight a crop and production system effect on the type of IPM tools used by the growers and suggest influence from a range of internal and external motivating and limiting factors. Excerpts from the grower interviews underline the complexity of IPM and draw attention to the lack of grower-centricity captured by IPM paradigms heretofore. Full article

The agrarian sector, as the key source of livelihood in Sub-Saharan Africa (SSA), has become highly vulnerable to changes in extension service deliveries. Farmers mainly lack access to technical advice, financial credits, farming inputs and mechanization tools while environmental challenges reinforce the adaptation of sustainable management practices. Therefore, an understanding how multi-functional actor relationships determine agricultural knowledge and information (AKI) sharing is required. This study contributes to filling this gap by characterizing horizontal and vertical interactions. By applying a social network analysis, we mapped actor relations along public–private-community co-operations to provide insights into structural dependencies at different administrative levels. Related to three sites distributed over Burkina Faso and Ghana, local perceptions were collected in stakeholder workshops to generate social network narratives. These narratives were analyzed by various metrics to identify patterns of partnerships and key actors. Study results reveal for Burkina Faso a slight shared network topology, while both sites in Ghana reflect a top-down flow of AKI. The statistical findings indicate that agricultural extension services are primarily delivered to farmers through a few key actors such as NGOs and farm-based organizations/cooperatives. Especially at the community level, the results show many reciprocal links between farmers, business actors and NGOs. This highlights a shift toward a pluralistic agricultural extension service system and underpins the demand for policies to support the long-term viability of these actors, in particular for regions where public extension agents are under-represented. Full article

Aquatic environments have been a critical source of nutrition for millennia, with wild fisheries supplying protein and nutrients to populations worldwide. A notable shift has occurred in recent decades with the expansion of aquaculture, now representing a fast-growing sector in food production. Aquaculture plays a key role in mitigating the depletion of wild fish stocks and addressing issues related to overfishing. Despite its potential benefits, the sustainability of both wild and farmed aquatic food systems is challenged by anthropogenic pollution. Contaminants from agricultural runoff, industrial discharges, and domestic effluents enter freshwater systems and eventually reach marine environments, where they may be transported globally through ocean currents. Maintaining water quality is paramount to food safety, environmental integrity, and long-term food security. In addition to conventional seafood products such as fish and shellfish, foods such as those derived from microalgae are gaining attention in Western markets for their high nutritional value and potential functional properties. These organisms have been consumed in Asia for generations and are now being explored as sustainable foods and ingredients as an alternative source of protein. Contaminants in aquatic food products include residues of agrochemicals, persistent organic pollutants (POPs) such as dioxins, polychlorinated biphenyls (PCBs), and per- and polyfluoroalkyl substances (PFASs), as well as brominated flame retardants and heavy metals. Public and scientific attention has intensified around plastic pollution, particularly microplastics and nanoplastics, which are increasingly detected in aquatic organisms and are the subject of ongoing toxicological and ecological risk assessments. While the presence of these hazards necessitates robust risk assessment and regulatory oversight, it is important to balance these concerns against the health benefits of aquatic foods, which are rich in omega-3 fatty acids, high-quality proteins, vitamins, and trace elements. Furthermore, beyond direct human health implications, the environmental impact of pollutant sources must be addressed through integrated management approaches to ensure the long-term sustainability of aquatic ecosystems and the food systems they support. This review covers regulatory frameworks, risk assessments, and management issues relating to aquatic environments, including the impact of climate change. It aims to serve as a comprehensive resource for researchers, policymakers, food businesses who harvest food from aquatic systems and other stakeholders. Full article

Climate change is driving the need for forest management strategies that simultaneously enhance ecosystem resilience and contribute to climate change mitigation. Voluntary carbon markets (VCMs), regulated in the European Union by the Carbon Removal Certification Framework (CRCF), offer potential financial incentives for such management, but eligibility criteria—particularly biodiversity requirements—limit the applicability of certain species. This study assessed the ecological and economic outcomes of six alternative management scenarios for a 4.7 ha, 99-year-old Scots pine (Pinus sylvestris) stand in western Hungary, comparing them against a business-as-usual (BAU) regeneration baseline. Using field inventory data, species-specific yield tables, and the Forest Industry Carbon Model, we modelled living and dead biomass carbon stocks for 2025–2050 and calculated potential CO₂ credit generation. Economic evaluation employed total discounted contribution margin (TDCM) analyses under varying carbon credit prices (€0–150/tCO₂). Results showed that an extended rotation yielded the highest carbon sequestration (958 tCO₂ above BAU) and TDCM but was deemed operationally unfeasible due to declining stand health. Black locust (Robinia pseudoacacia) regeneration provided high mitigation potential (690 tCO₂) but was ineligible under CRCF rules. Grey poplar (Populus × canescens) regeneration emerged as the most viable option, balancing biodiversity compliance, climate adaptability, and economic return (TDCM = EUR 22,900 at €50/tCO₂). The findings underscore the importance of integrating ecological suitability, market regulations, and economic performance in planning carbon farming projects, and highlight that regulatory biodiversity safeguards can significantly shape feasible mitigation pathways. Full article

Controlled environment agriculture (CEA) pivots food production from an outdoor field setting to the indoors where growing conditions can be calibrated to fit crop needs. This research investigates vertical farms as a type of CEA. In particular, using the St. Louis area as a case study, it provides data-driven support for optimizing a vertical farm’s business model including its supply chain. The methodology presented here informs agri-preneurs about what crops to grow in a vertical farm, how much to grow given local market demand, and what vertical farm configuration (e.g., Dutch bucket, nutrient film technique, deep water culture) a facility should use. Based on the case study’s base scenario, the simulated vertical farm business would record an economic loss. However, the study did find several paths to improving profitability. First, reducing fixed and variable costs benefits profitability. Proper facility-level production and resource planning helps with managing the fixed costs. Second, increasing market prices may benefit profitability, but it has diminishing returns. As a result, firms can justify making investments that enhance their reputation and market competitiveness, though the advantage these marketing activities provide will decline as prices increase. Third, growing demand or increasing market share does not necessarily improve profitability. Full article

To achieve regional sustainable development, the low-carbon transformation of agriculture is essential, as it serves both as a significant carbon source and as a potential carbon sink. This study calculated the agricultural carbon emissions in Liaocheng from 2010 to 2022 by analyzing processes including crop cultivation, animal husbandry, and agricultural input. Additionally, a simulation model of the water–energy–food–carbon nexus (WEFC-Nexus) for Liaocheng’s agricultural production process was developed. Using Vensim PLE 10.0.0 software, this study constructed a WEFC-Nexus model encompassing four major subsystems: economic development, agricultural production, agricultural inputs, and water use. The model explored four policy scenarios: business-as-usual scenario (S1), ideal agricultural development (S2), strengthening agricultural investment (S3), and reducing agricultural input costs (S4). It also forecast the trends in carbon emissions and primary sector GDP under these different scenarios from 2023 to 2030. The conclusions were as follows: (1) Total agricultural carbon emissions exhibited a three-phase trajectory, namely, “rapid growth (2010–2014)–sharp decline (2015–2020)–gradual rebound (2021–2022)”, with sectoral contributions ranked as livestock farming (50%) > agricultural inputs (27%) > crop cultivation (23%). (2) The carbon emissions per unit of primary sector GDP (CEAG) for S2, S3, and S4 decreased by 8.86%, 5.79%, and 7.72%, respectively, compared to S1. The relationship between the carbon emissions under the four scenarios is S3 > S1 > S2 > S4. The relationship between the four scenarios in the primary sector GDP is S3 > S2 > S4 > S1. S2 can both control carbon emissions and achieve growth in primary industry output. Policy recommendations emphasize reducing chemical fertilizer use, optimizing livestock management, enhancing agricultural technology efficiency, and adjusting agricultural structures to balance economic development with environmental sustainability. Full article

This qualitative case study explores Missouri-based consumers’ ethical beliefs regarding restaurant sourcing from minority farmers. Guided by the Hunt–Vitell theory of ethics (H-V model), it applies the model in a new context: culturally inclusive restaurant sourcing. Based on 15 semi-structured interviews conducted between September 2024 and October 2024, the study explores how ethical beliefs shape dining intentions. Participants generally viewed support for minority farmers as ethically appropriate. Thematic analysis revealed six key themes: (1) community-oriented social values (e.g., social responsibility toward local businesses); (2) cultural identity (e.g., traditional farming methods); (3) consumer values—food-oriented (e.g., quality); (4) consumer values—people-oriented (e.g., financial support for ethical sourcing); (5) trust-building mechanisms (e.g., sourcing transparency); and (6) barriers (e.g., lack of awareness). These findings highlight limited consumer awareness of minority farmers and the need for transparent communication and cultural education. The study contributes theoretically by extending the H-V model to the intersection of ethics, culture, and restaurant sourcing. Practically, it offers guidance for restaurant managers, marketers, and policymakers to support minority farmers, build trust, and promote inclusive and socially responsible dining. One key limitation of this study is its reliance on a small, Missouri-based consumer sample, which limits generalizability and excludes perspectives from other stakeholders. However, as a regional case study, it provides important depth and contextual insight into an underexplored aspect of sustainable sourcing. This study also highlights the need for multi-stakeholder engagement to advance equity in the food system. Full article

Sustainability has also become an increasingly important issue as an international trend for the hospitality industry in recent times, with a positive message for both restaurant operators and consumers. Restaurants can become more sustainable in three main areas: (1) water and energy efficiency, (2) waste management, and (3) employees—social topics. This study examines the role of green practices and innovation in hospitality using three methods in parallel. In connection with a current tourism project, this paper describes some of the green practices for hospitality management in Hungary. Based on the survey, the most common sustainable practices are sourcing from local producers and using seasonal menus. The most popular food waste reduction strategies are Munch, nose-to-tail, and other food utilization options, totaling 65.0%. A total of 72.0% of consumers prefer the green restaurants. Our data show that sustainable operation is not just an environmental issue, but also increasingly a strategic business advantage. The findings are supported by the everyday practices of two of Dining Guide’s member restaurants, Iszkor and Sulyom in the Northeastern Hungary region. Both restaurants focus on locally sourced food and drink ingredients. Some dairy products, domestic fruit, and vegetables come from sustainable farming. For restaurants, adopting sustainable solutions can provide a long-term competitive advantage. Full article

Food waste management is a major global issue, and alternative protein sources like insect farming offer a sustainable solution. This study investigated the environmental impacts of black soldier fly larvae (BSFL) production using a Life Cycle Assessment (LCA), evaluating its role in both protein production and food waste treatment. The assessment considered three functional units: FU₁ (1 kg of dried larvae), FU₂ (per kg of protein), and FU₃ (treatment of 1 ton of food waste). The results indicate that larvae rearing is the largest contributor to emissions in FU₁ (46% of 18.51 kg CO₂ eq). In FU₂, BSFL protein shows a higher climate impact (49.41 kg CO₂ eq) than fishmeal or soybean meal but requires significantly less land. FU₃ demonstrates that BSFL-based composting can achieve net negative emissions (~−24.8 kg CO₂ eq), outperforming conventional waste treatment. An optimized scenario (Scenario A) shows marked improvements across all units compared to a Business-as-Usual case, including a 79% reduction in FU₁ emissions and a 577% increase in FU₃ carbon savings. These findings underline the environmental advantages of BSFL systems, especially in Singapore, and support their potential as sustainable alternatives for protein production and food waste management. Full article

The present study explores the impact of farm scale on environmental efficiency to provide theoretical support and policy reference for the modernization and sustainable development of the apple industry. The study is based on research data from apple farmers in three counties of the Shaanxi and Gansu provinces in 2021. Firstly, the life cycle approach is applied to assess the comprehensive environmental pollution emissions in apple production and to clarify the non-desired outputs. Secondly, the environmental efficiency of apple production is measured using the SBM model, based on which the Tobit model is utilized to explore the impact of operation scale on the environmental efficiency of apple production and its potential mechanism of action. The results of the study show the following: (1) The mean environmental efficiency of the farmers in the sample is 0.278, indicating that the overall environmental efficiency of apple production is low; (2) there is an inverted U-shaped relationship between the scale of operation and the environmental efficiency of apple production, and the results are robust. This analysis was conducted after addressing endogeneity. Thirdly, the study found that the intensity of the adoption of green technology and farmers’ environmental awareness play a significant mediating role in the influence of business scale on the environmental efficiency of apple production. The potential mechanism of the effect of the scale of operation on the environmental efficiency of apple production was also investigated. Consequently, it is recommended to expedite the promotion of moderate-scale orchard operations, to proactively cultivate new management entities, and to enhance the adoption level of green technology and environmental cognition among farmers. These measures are proposed to encourage sustainable and high-quality development in the apple industry. Full article

The dairy supply chain encompasses all stages involved in the production, processing, distribution, and delivery of dairy products from farms to end consumers. Artificial intelligence (AI) refers to the use of advanced technologies to optimize processes and make informed decisions. Using the PRISMA methodology, this research analyzes AI technologies applied in the dairy supply chain, their impact on process optimization, the factors facilitating or hindering their adoption, and their potential to enhance sustainability and operational efficiency. The findings show that artificial intelligence (AI) is transforming dairy supply chain management through technologies such as artificial neural networks, deep learning, IoT sensors, and blockchain. These tools enable real-time planning and decision-making optimization, improve product quality and safety, and ensure traceability. The use of machine learning algorithms, such as Tabu Search, ACO, and SARIMA, is highlighted for predicting production, managing inventories, and optimizing logistics. Additionally, AI fosters sustainability by reducing environmental impact through more responsible farming practices and process automation, such as robotic milking. However, its adoption faces barriers such as high costs, lack of infrastructure, and technical training, particularly in small businesses. Despite these challenges, AI drives operational efficiency, strengthens food safety, and supports the transition toward a more sustainable and resilient supply chain. It is important to note that the study has limitations in analyzing long-term impacts, stakeholder resistance, and the lack of comparative studies on the effectiveness of different AI approaches. Full article