Search Results (94)

Eliminating all forms of poverty is a core component of the United Nations’ Sustainable Development Goals. At the household level, poverty and income inequality significantly threaten farmers’ sustainable development and food security. Based on a sample of 1234 kiwi farmers from the Shaanxi and Sichuan provinces in China, this paper empirically examines the impact of participation in agricultural industry organizations (AIOs) on household income and income inequality, as well as the underlying mechanisms. The results indicate the following: (1) Participation in AIOs increased farmers’ average household income by approximately 19,570 yuan while simultaneously reducing the income inequality index by an average of 4.1%. (2) Participation increases household income and mitigates income inequality through three mechanisms: promoting agricultural production, enhancing sales premiums, and improving human capital. (3) After addressing endogeneity concerns, farmers participating in leading agribusiness enterprises experienced an additional average income increase of 21,700 yuan compared to those participating in agricultural cooperatives. Therefore, it is recommended to optimize the farmer–enterprise linkage mechanisms within agricultural industry organizations, enhance technical training programs, and strengthen production–marketing integration and market connection systems, aiming to achieve both increased farmer income and improved income distribution. Full article

Biogas production from agricultural waste reduces methane emissions and addresses climate change challenges by converting livestock and organic waste into energy. This study analyzed biogas production in agricultural enterprises under the European Green Deal, the advantages of biogas as an energy source, and the use of digestate in agriculture. The raw material for biogas production from agro-industrial wastes in Ukraine has been investigated, showing that the country’s biogas production potential amounts to 34.59 billion m³, including 0.65 billion m³ from processing plant wastes. The main types of biomass that can be used for biogas production in Ukraine are crop residues (71.4%), manure (26.6%), and food industry waste (2.0%). The implementation of biogas production projects will reduce greenhouse gas emissions by 3.98 billion tons of CO₂ and increase profits through electricity sales. This study examines the barriers and prospects for the development of electricity generation from biogas in Ukraine in the context of the integration of Ukraine’s energy system into the EU energy space. Directions for developing the biogas industry, focusing on electricity production within the framework of European decarbonization initiatives, will enhance the energy security of Ukraine and the EU. Estimating the energy production from agricultural waste allows for determining biogas output from organic waste. A regional biogas cluster model was developed based on the agro-industrial complex, which combines the production of biogas, electricity, water, and biofertilizers with increased efficiency and regional sustainable development. Full article

Excessive nutrients transported from agricultural fields into the environment are causing environmental and ecological problems. This study uses an integrated multi-media modeling system version 1 (IMMMS 1.0) linking air, land surface, and watershed processes to assess corn grain yield and nitrogen (N) losses resulting from changing fertilization conditions across the contiguous United States. Two fertilizer management scenarios (FMSs) were compared and evaluated: 2006 FMS, developed based on the 2006 fertilizer sales data; and 2011 FMS, developed based on 2011 fertilizer sales and manure. Corn grain yields captured historical reported values with average percent errors of 4.8% and 0.7% for the 2006 FMS and 2011 FMS, respectively. Increased nitrogen (N) application of 21.2% resulted in a slightly increased corn grain yield of 5% in the 2011 FMS, but the simulated total N loss (through denitrification, volatilization, water, and sediment) increased to 49.3%. A better correlation was identified between crop N uptake and N application in the 2006 FMS (R² = 0.60) than the 2011 FMS (R² = 0.51), indicating that applied N was better utilized by crops in the 2006 FMS. Animal manure could create nutrient surpluses and lead to greater N loss, as identified in the regions of the Pacific and Southern Plains in the 2011 FMS. Manure nutrient management is important and urgently needed to protect our air and water quality. The IMMMS 1.0 is responsive to different FMSs and can be utilized to address alternative management scenarios to determine their impact when addressing the sustainability of food production and environmental issues. Full article

The intensification of agricultural practices, such as the extensive use of synthetic fertilizers, the expansion of irrigation systems, and land use conversion, has led to substantial biodiversity loss and the disruption of ecosystem functions. Traditional washing procedures for fresh produce involve substantial water usage and can generate wastewater, which requires proper management to prevent environmental contamination. By skipping the washing stage, these reduced water and energy inputs contribute to more sustainable agricultural practices. Although this approach may benefit sustainability and the environment, the market success of a product with a sustainable attribute ultimately depends on consumer acceptance and their willingness to pay (WTP) for it. This study investigates consumer preferences and WTP for a local potato variety called “Agria”, with a specific focus on the sustainability attribute concerning the sale of washed versus unwashed potatoes. We conducted an experimental study with consumers in northeastern Spain, where this potato variety is grown, and simulated market shares under varying price scenarios. The methodology involved a choice experiment that evaluated three characteristics: price, local origin, and presentation (washed versus unwashed). The methodology also incorporated attribute non-attendance (ANA) to capture all aspects of the decision-making process. The findings reveal that consumers preferred the locally grown variety over those from other origins and were willing to pay a premium. Although consumers preferred washed potatoes, they would purchase unwashed potatoes at a discount price of EUR 0.2/kg. The results provide marketing and pricing strategies for local producers and retailers and market share projections aligned with consumer preferences for local food. Empirically, the study contributes to the literature on consumer preferences and sustainable food systems by (i) integrating the “washed versus unwashed” attribute with local origin to inform more effective marketing strategies; and (ii) supporting local potato growers through the identification of viable lunch strategies for a differentiated, unwashed product that extends shelf life, reduces food waste, and promotes sustainability by lowering water and energy use in post-harvest processing. For methodologically, it applies ANA in the context of potato choice experiments—an approach rarely used in this domain—to enhance the understanding of consumer decision-making. Full article

More than one billion tons of the food produced in the world ends up being wasted every year, accounting for about one-third of the food produced globally. For this reason, the problem of food waste management has been the focus of the different actors intervening in the food supply chains, who recognize that food waste has not only environmental but also economic and social impacts. This review focuses on foods of plant origin wasted at different stages of their life, namely primary production, transformation/processing, transportation, sales, catering and the domestic level. It addresses the subject from multiple angles, considering the environmental, economic and social perspectives. The review was based on a search carried out within scientific databases, for example, ScienceDirect, Scopus and the Web of Science. The results highlighted that in the generation and management of food waste from plant origin, there is a clear difference between developed and developing countries, with these last showing higher losses in production, principally the transportation and storage of the foods. Contrarily, in developed countries, excess food produced and not consumed is the strongest contributor to food waste. Valorization of agricultural waste and industrial residues for application into animal feed or agricultural fertilizers, or through the recovery of valuable compounds for industrial purposes, are some of the ways to deal with food waste while generating additional economic value and reducing environmental impact. However, there is still a need to modify processes and behaviors to reduce food waste and improve the sustainability of supply chains. Therefore, it is crucial to conduct research to identify and report food waste so that stakeholders can contribute positively to solving this problem. Full article

Historically, innovation has been a milestone in achieving sustainable agriculture for small-scale producers. For several centuries, innovation has improved agricultural activity. However, there is still the challenge of introducing technologies pertinent to the knowledge and practices of small producers to achieve sustainability. Therefore, the present study explores the traditional knowledge embedded in the activities of Planting–Harvest and First Disposal circuit (PHFDc) of beans (Phaseolus vulgaris L.) for its innovation involving the social, economic, and environmental context. Applying the methodology of roadmapping technology to 73 small-scale producers in Guanajuato, Mexico, combining the SDGs catalogue, in addition to statistical analysis, the results show access to government financial support; improving sales price, production, area, and profitability; having accessible tools; creating their inputs; in addition to having more excellent knowledge for plant care and advice as strategies to develop within economic sustainability. In this sense, based on the assertion that social and productive conditions are directly related to innovation, the proposal for reorientation is towards the creation of word credit, improving bean varieties, sustainable practices, mechanical seeders, bean corridors, and the connection with associations and institutes as the most pertinent ones that are developing in similar contexts. This research can be significant for small producers and the general population regarding food security, zero hunger, and the fight against climate change, as well as for researchers and politicians who support continuing new studies. Full article

Background: Agriculture plays a key role in Colombia’s economy. However, the sector faces persistent logistics, infrastructure, and supply chain integration challenges that hinder its development. While background studies have primarily addressed socio-economic needs and strategies to overcome these long-standing challenges, supply chain coordination remains critical for enhancing efficiency and sustainability. This study examined the impact of joint decision-making mechanisms on the logistical performance of a citrus food supply chain in Colombia. Methods: We employed agent-based modeling and simulation to evaluate three scenarios: single distribution (the current system referred to as Single-distribution), joint consolidation (Joint-consolidation), and joint consolidation–distribution (Joint-consolidation-distribution). Key performance indicators, including total logistics costs, Staytime, and load capacity utilization, were analyzed to evaluate the scenarios. Results: The joint-consolidation–distribution model emerged as the most effective, reducing logistical costs, improving load utilization, and increasing farmers’ revenues by 55.9% compared to individual sales. Consolidating harvest and distribution through a food hub improved efficiency by centralizing logistics and reducing the reliance on middlemen. Conclusions: Our findings provide actionable insights into how joint coordination enhances smallholder farmers’ economic outcomes, strengthens supply chain sustainability, and fosters community development. These results support policies promoting productive associations and local food hubs as key facilitators of market access and logistical efficiency in rural agricultural sectors. Full article

Digital technology has facilitated the transformation and upgrading of agriculture, profoundly altering production and marketing methods, especially in peri-urban agriculture. Taking the peri-urban agriculture of Guangzhou, China, as an example, this paper delves into the digital transformation of peri-urban agriculture through in-depth interviews, field research, and participatory observation via a qualitative research approach. It explores the relationship between agricultural producers and consumers and its urban–rural integration mechanism. The findings reveal that digital technology promotes the digitization of agricultural production management and the networking of agricultural product sales markets. It further reconstructs the relationship between agricultural production and consumption, transcending traditional geographical constraints and fostering a direct production–consumption community link. With the empowerment of digital technology, peri-urban agriculture integrates seamlessly with manufacturing, services, culture, and ecology, thereby enhancing its value-added role in the metropolis’ fringes and facilitating the integration of urban and rural industries. Moreover, digital technology has significantly bolstered the role of peri-urban agriculture as a pivotal link between urban and rural areas, expanding its spatial function beyond mere production to include consumption and leisure. This not only solidifies the connection between urban and rural food systems but fosters social integration through subject interaction, cultural exchange, and value exchange. This paper broadens the interdisciplinary field of agricultural economics and digital technology, promoting sustainable agricultural development. It also accelerates urban–rural integration and harmonious development, providing new impetus for increasing farmers’ incomes and driving rural economic growth. Full article

With the advancement of machine vision technology, deep learning and image recognition have become research hotspots in the non-destructive testing of agricultural products. Moreover, using machine vision technology to identify different ripeness stages of fruits is increasingly gaining widespread attention. During the ripening process, bananas undergo significant appearance and nutrient content changes, often leading to damage and food waste. Furthermore, the transportation and sale of bananas are subject to time-related factors that can cause spoilage, necessitating that staff accurately assess the ripeness of bananas to mitigate unwarranted economic losses for farmers and the market. Considering the complexity and diversity of testing environments, the detection model should account for factors such as strong and weak lighting, image symmetry (since there will be symmetrical banana images from different angles in real scenes to ensure model stability), and other factors, while also eliminating noise interference present in the image itself. To address these challenges, we propose methods to improve banana ripeness detection accuracy under complex environmental conditions. Experimental results demonstrate that the improved ESD-YOLOv9 model achieves high accuracy in these conditions. Full article

Smallholder vegetable farmers grow diverse crops for family use and surplus sales. These farming activities contribute to enhancing local food security and the economy, but the farmers face challenges like limited resources and climate vulnerability. These smallholder farmers are more susceptible to climate variability and therefore need effective adaptation strategies to mitigate the challenges. This study sought to determine the factors that influence the choice and level of adaptation strategies among smallholder vegetable farmers in KwaZulu Natal Province. Primary data utilized in this study were obtained from 200 participants that were selected through random sampling. The descriptive results indicated that the majority of the farmers experienced climate variability and employed carbon and water-smart agricultural practices. The study employed the Multivariate Probit Model and Count Data Model/GLM Correlation Test to analyze the adaptation strategies and the level of their implementation by the selected vegetable farmers. The first hurdle of the probit model results showed that education level and land size positively and significantly influence smallholder farmers’ adaptation strategies, while marital status, household size, income source, soil type, membership of the association, and supply chain involvement had a significant and negative effect on adoption of adaptation strategies. The results from the second hurdle showed that household size, the total size of land used for vegetable production, sandy, silt, and loam soil had a significant and negative effect on the level of adaptation strategy used, whilst the total size of land owned had a positive and significant impact on the level of adaptation strategy used by the smallholder vegetable farmers. The study concludes that education level and total land size are associated with improved farmers’ climate variability adaptative capacity. The vegetable farmers’ ability to adapt to climate variability challenges was negatively influenced by factors like marital status, household size, and soil type negatively impacted these strategies. The study recommends that the government considerably supports the Climate Smart Agriculture initiatives, such as alternatives like hot houses, training, credit access, and sustainable practices to enhance farmers’ resilience and national food security. These may include but are not limited to alternatives like hot houses, as well as addressing barriers through training, credit access, and sustainable practices to enhance farmers’ resilience and national food security. Full article

Agrivoltaics, combining agricultural production with a photovoltaics system, leverage the dual benefits of panel shading and electricity to optimize traditional farming methods. Agrivoltaics offer many advantages, including agricultural and environmental benefits (e.g., increased crop productivity, water conservation, and enhanced biodiversity), energy benefits (e.g., increased energy production and efficiency), and social benefits (e.g., improved food and energy security, diversification of income, and rural development). Although agrivoltaic approaches have been around for about forty years, little is known about the long-term benefits, potential compatibility with current agricultural practices, market uncertainty and economic viability, and overall benefits. This research provides a review of the literature with a particular focus on individual income generation opportunities: (1) solar energy generation, (2) electricity sales, (3) agricultural production, (4) agricultural sales, and (5) agrivoltaics installations. Each focus area has an associated critical review of government-sponsored market transformation policies aimed to increase agrivoltaics adoption. The paper concludes with a call to action for establishing a collaborative agenda toward prioritizing agrivoltaics research and adoption. Future research is needed to find innovative designs and practices that maximize agricultural productivity within APV systems. Two promising areas for research and innovation include (1) real-time performance monitoring and (2) peer-to-peer networks. Implementing real-time performance monitoring systems can provide valuable data on energy production, microclimate conditions, and crop growth within APV setups. Additionally, peer-to-peer trading platforms can allow farmers to sell surplus energy generated by their APV systems directly to local consumers, bypassing traditional energy utilities. This decentralized model could provide farmers with an additional revenue stream, while promoting the use of renewable energy within local communities, further incentivizing the adaptation of APVs. Full article

A profound transformation of the entire food system is necessary to achieve sustainable development in the agricultural sector. This pertains to the production, distribution, and consumption of food. In the case of distribution, this transformation involves changes both at the beginning of the chain, namely, in the agricultural structure, and at the final stage, in consumer behaviour. By analysing the existing literature, we identify key areas where the principles of short supply chains can be harmonised with smart village initiatives. The concept of smart villages itself is based on using modern technologies and innovative practices to improve the quality of life in rural areas and support sustainable development. Consequently, as mentioned, one of the critical elements of this concept is the cooperation of farmers for sustainable short supply chain management. This study analysed statistical data from the Central Statistical Office of Poland and unpublished data from the General Veterinary Inspectorate, complemented by desk research on relevant reports, scientific literature, and legal documents concerning local food systems. The study investigates local food systems in the Mazowieckie region, where 9% of Polish entities operating within local food systems are registered. Activity within this framework is characterised by significant spatial diversity across the region. The spatial distribution is mainly related to the location of the raw material base, e.g., the concentration of specialised agricultural production, distance to the sales market (proximity to consumers), and other broadly understood conditions for conducting business activity. The paper highlights the need to transform food systems to support sustainable agricultural development, focusing on short supply chains and smart village initiatives. By examining local food systems in Poland’s Mazowieckie region, it identifies how spatial and resource factors impact local food distribution and rural sustainability. Full article

This study aims to quantify and graphically illustrate the negative lingering effect that the COVID-19 pandemic had on the sales in South African Rands (ZAR) of the food and beverage sector using the time series seasonal autoregressive integrated moving average with exogenous components (SARIMAX) intervention model. The SARIMAX$\left(2,1,0\right){\left(0,1,2\right)}_{12}$ intervention model provided the best fit, supported by the lowest values of the model selection and error metrics (Akaike’s information criterion, Bayesian information criterion, and root mean square error). The total estimated loss of sales in the 52 months during the intervention period (March 2020 to June 2024) amounts to ZAR 130,579 million. The most affected months were April 2020 and May 2020 with estimated losses of ZAR 7719 million and ZAR 7633 million, respectively. The findings of this study align with the Statistics South Africa^® statistical report based on empirical estimation without any model fitting, thus highlighting the effectiveness of the SARIMAX intervention model in quantifying the effects of the pandemic. The lingering negative impact of the COVID-19 pandemic still continues to threaten the sustainability of the South African food and beverage sector, violating the United Nations’ Sustainable Development Goal, Number 2, which is to end hunger, achieve food security, improve nutrition, and promote sustainable agriculture. Full article

Rural communities in Oaxaca face challenges such as food insecurity, economic instability, and the loss of traditional agricultural knowledge. Home gardens, once essential for food production and income generation, have declined due to migration, environmental degradation, and modern agricultural pressures. This study evaluated how community-driven models, supported by crowdfunding, can revitalize home gardens to improve food security, build community resilience, and promote economic empowerment. A mixed-methods approach, including household surveys, interviews, and focus groups, was used to assess the impact of these gardens. The results showed that over 70% of households experienced improved food security and reduced reliance on external food sources. Home garden production also led to a 20% reduction in food expenses, and the sale of surplus crops provided additional income, enhancing household economic stability. Women’s involvement in agricultural decision-making increased, fostering empowerment within both family and community contexts. Traditional practices, such as seed saving and organic pest control, were maintained, contributing to the ecological sustainability of the gardens. Crowdfunding was an effective tool for financing home gardens, boosting community engagement and strengthening social bonds. The findings highlight the potential of integrating traditional knowledge with modern funding strategies to create resilient, sustainable agricultural systems in rural Oaxaca. Full article

Ancient agroecological farms, or chagras, of the Kamëntšá Biyá and Kamëntšá Inga indigenous communities in the Sibundoy Valley of Colombia offer valuable insights into the environmental challenges of intensive agriculture and promote sustainable food production. Sustainability indices have been developed to assess farm-level sustainability and enhance agroecological practices; however, data limitations hinder monitoring and correlation with external factors. This study evaluated sustainability indices in Sibundoy Valley chagras using the holistic evaluation system for farming intensification (HESOFI) interview system with 800 randomly selected chagras, assessing economic, agro-environmental, and sociopolitical–cultural dimensions. The endogenous factors considered included areas managed with diversified agricultural systems, the percentage of transformed products, inputs generated by the chagra, and products intended for sale. Exogenous factors included distance to rivers, roads, cities, and vegetation index ratio. The results showed that all chagras fell below the minimum sustainability threshold (80%), with the economic dimension scoring the lowest. Based on these findings, three strategies were proposed to improve the economic scores and overall sustainability indices of these chagras. Full article