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Smallholder agricultural growers and entrepreneurs (SAGE) have a crucial role in sustaining food security; their cultivation accounts for roughly 30% of global crop production and contributes substantially to the diversity and nutritional value of food systems. Despite their awareness of and flexibility to adapt to productivity challenges, SAGE communities remain highly vulnerable to heat and drought stress, which threatens both livelihoods and local food availability. While intensification and adaptive farm practices offer partial resilience, their capacity to buffer sudden climatic extremes remains limited. Agrivoltaics, the dual use of land for solar electricity generation and crop cultivation, has emerged as a promising strategy to enhance agricultural productivity and its resilience to climate extremes by altering microclimatic conditions. Although proven effective in hot and arid regions, the benefits of agrivoltaics for temperate climates and small-scale farms remain minimally explored. To address this gap, we evaluated the performance of a small-scale agrivoltaics system in a temperate climate for high-value crops, including leafy vegetables and garlic. We investigate whether the system can (i) protect crops during extreme heat events and (ii) enhance productivity and reduce irrigation requirements during hot and dry periods unsuitable for conventional production. Our findings provide evidence that agrivoltaics is a climate-resilient farming strategy under current and projected climate scenarios, capable of improving yields (by +43% to +127% for the leafy vegetables grown) and reducing water consumption, while creating complementary economic opportunities through decentralized energy generation systems. This work supports the integration of agrivoltaics into small-scale agricultural systems as an innovative pathway to strengthen food security, bolster farmer livelihoods, and enable multiple co-benefits from broader solar energy adoption.

Farmers' maintenance of agrobiodiversity is fundamental to global food security, particularly in a world increasingly affected by climate change. Biodiversity helps to buffer agroecosystems from stresses like climatic variability, and the crop genetic diversity conserved with biodiverse agroecosystems is critical for plant breeding both locally and globally. Yet, despite these benefits, few studies have directly assessed the implications of household—level agrobiodiversity maintenance on household food security. Drawing on survey data collected in Sri Lanka's Hambantota District, we evaluated the plant diversity maintained by small—scale farming households in both homegardens and crop fields and determined the relationships between this diversity and their households' food security. We also considered how a suite of additional demographic, household, community, and farm characteristics relate to both the plant diversity maintained by a household and their food security. Similar to previous studies, the age of the agricultural decision-maker and the age and size of households' homegardens positively correlated with the overall species richness of farming systems. Older homegardens were also identified to be more evenly distributed in their species abundance, and market—oriented households had significantly higher species richness but lower Shannon Indices. Most notably, household socioeconomic status and material wealth were important to both agrobiodiversity maintenance and household food security, while no significant relationships between species richness and food security measures were detected. These findings suggest that effort aiming to increase the food security of small—scale farming households in Sri Lanka, and elsewhere, should target those farming households with a paucity of socioeconomic assets, as these households lack both agroecological and economic resources to overcome shocks, such as those associated with climate change.

This study investigates how agricultural policy distortions cause countries to deviate from optimal production levels, thereby widening agricultural productivity gaps both within and between nations. Using the Leontief production function under a comparative framework, we examine how country-specific national endowments shape agricultural policies, bringing about varied misallocations and distinct agricultural productivity gaps across countries. Developing countries typically misallocate excessive labor to farmland, resulting in small-scale farming, whereas developed countries often allocate surplus capital to farmland, favoring large-scale operations. This divergence in resource allocation not only widens agricultural productivity gaps within nations but also amplifies them between developing and developed countries.

The use of modern digital technologies contributes to small-scale dairy farmers enhancing their business processes, increasing productivity, and addressing challenges related to sustainability. Small-scale dairy farmers are the ones most left behind in the process of implementing information technology. Therefore, there is a need to implement information technology that pays attention to the beneficial aspects seen from the aspect of small-scale farmers. The level of information technology application and human resource readiness can be measured as a basis for formulating strategies for implementing information technology. This research aims to assess the factors that affect information technology adoption among small-scale dairy farmers in Indonesia. The factors that influence the level of adoption of new information technology for small-scale dairy farmers were identified by literature studies, surveys, data analysis carried out using the Partial Least Squares-Structural Equation Modelling approach, and patterns related to aspects of technology application for small-scale dairy farmers. The findings in this research show that the factors that influence information technology adoption for small-scale dairy farmers consist of Digital Skill, Supporting, Perceived Ease of Use, Perceived Usefulness, Attitude Toward Use, and Behavioral Intention to Use. This research identified the pattern that the more complete the recording habits, the higher the level of farmer adoption of the use of new information technology. Apart from that, farmers with moderate incomes show a higher readiness to embrace technology, possibly driven by their aspiration to advance their businesses. Contrastingly, higher-income farmers exhibit less enthusiasm, potentially due to contentment with their current status and apprehension towards new risks. By offering a nuanced analysis of these factors, this study contributes significantly to the literature on agricultural information technology adoption, particularly within the context of small-scale dairy farming. It presents a novel understanding of the barriers and enablers to technology adoption, advocating for more personalized and contextually relevant support strategies. Furthermore, this research provides valuable insights for policymakers, extension agents, and technology developers on designing and implementing information technology adoption strategies that are not only technically viable but also socially and culturally acceptable.

Background According to the biophilia hypothesis, an emotional affiliation with nature has been inherited during human biocultural evolution. Research on beekeeping can contribute to the scientific understanding of the influence of emotions in the human-nature relationship, since this activity provides concrete experiences of beneficial interaction between the human being and the environment by stimulating conservation-friendly values among practitioners. In this study, we investigated motivations and preferences driving beekeepers’ choices. We hypothesized that emotional criteria would be the main motivators in choosing to include beekeeping into small-scale farming systems. We also assumed that, once beekeeping has been chosen, the preference among species of bees for raising would also be influenced mainly by emotional criteria. Methods Data were collected from free lists and semi-structured interviews with 52 keepers of stingless bees from Sítio Xixá in the state of Pernambuco, Brazil. The content analysis technique was used to analyze data from interviews. The underlying criteria for motivation and preference quoted in the free lists were analyzed with Smith’s Salience Index. Results Emotional and esthetic criteria were the most salient motivations for choosing beekeeping as one of the activities in small-scale farming systems. On the other hand, honey productivity and bee behavior were the most salient criteria for the preference for certain bee species to be kept. Conclusions Emotional criterion had an especially notable influence on the motives for practicing beekeeping, but not on the preference of species to be raised. This demonstrates that the scenario under study represents a panorama of multiple influences in which emotions are one, but not the only, important component. Finally, our results indicate that the emotional domain should be taken into account in environmental education efforts and in the planning of bee management and nature conservation policies.

As digitalization in the agricultural sector has intensified, the number of studies addressing adoption and use of digital technologies in crop production and livestock farming has also increased. However, digitalization trends in the context of small-scale farming have mainly been excluded from such studies. The focus of this paper is on investigating the sequential adoption of precision agriculture (PA) and other digital technologies, and the use of multiple technologies in a small-scale agricultural region in southern Germany. An online survey of farmers yielded a total of 2,390 observations, of which 1,820 operate in field farming, and 1,376 were livestock farmers. A heuristic approach was deployed to identify adoption patterns. Probable multiple uses of 30 digital farming technologies and decision-support applications, as well as potential trends of sequential technology adoption were analyzed for four sequential points of adoption (entry technology, currently used technologies, and planned short-term and mid-term investments). Results show that Bavarian farmers cannot be described as exceedingly digitalized but show potential adoption rates of 15–20% within the next five years for technologies such as barn robotics, section control, variable-rate applications, and maps from satellite data. Established use of entry technologies (e.g., automatic milking systems, digital field records, automatic steering systems) increased the probability of adoption of additional technologies. Among the most used technologies, the current focus is on user-friendly automation solutions that reduce farmers’ workload. Identifying current equipment and technology trends in small-scale agriculture is essential to strengthen policy efforts to promote digitalization.

The purpose of this study was to describe the patterns of land use that have emerged on the island of Borneo in the wake of an oil palm boom in its indigenous population. An in-depth examination of indigenous land-use changes between 2004 and 2013 in a selected oil palm farming village in Sarawak, Malaysia was conducted using data derived from high-resolution satellite images to examine the spatial distribution of oil palm cultivation. The results found that oil palms are irregularly and randomly distributed. The results of interviews with villagers further revealed a diversity of oil palm planting actors and demonstrated how this diversity relates to villagers' land-use options and decision-making. From the viewpoint of plantation management, the mosaic and patchy cultivation of small-scale oil palm farming appears inefficient and irrational. However, villagers' land-use behaviours conform to their traditional land tenure customs and allow them to secure diverse opportunistic land-use options to survive in the event of a sharp drop in the price of oil palm. The villagers' rationale for oil palm expansion also derives from their complex relationships with the diversity of actors that have interest in their land, including plantations, urban Chinese, and small-and middle-scale developers. It is important to create balanced relationships among these diverse stakeholders in order to maintain mosaic-like village landscape and realise sustainable development of oil palm cultivation in rural Sarawak.

Systems to record the frequency of animal health events in Pakistan are limited. A participatory approach was used to address gaps in farmers' knowledge and understanding of bovine health and production issues in five agroecological zones (AEZs) of Pakistan. Participatory tools, including simple ranking, pairwise ranking, constraint impact scoring, and constraint profiling were used in group discussions with farmers and animal health professionals (AHPs) in six districts of two provinces, Punjab and Sindh. The results of the ranking activities showed that foot-and-mouth disease (FMD), clinical mastitis, ticks, hemorrhagic septicemia, reproductive disorders, blackleg, and endoparasites were the most important bovine health and production constraints for small-scale dairy farmers. Constraint impact scoring showed that the participants perceived that: (1) milk production was severely affected by FMD and mastitis; (2) blackleg and parasitism led to poor growth rates and reduced meat production; (3) reproductive disorders and mastitis caused major economic losses (due to the high cost of treatment); and (4) blackleg and hemorrhagic septicemia were the leading causes of mortality in cattle and buffaloes. Although there was strong agreement in responses and constraint impact scores between farmers and AHPs, farmers were more concerned about health issues that cause high mortalities, whereas AHPs emphasized the importance of disorders with a high economic impact. Despite socioeconomic differences among AEZs, farmers' knowledge about bovine health and production constraints was similar. The findings from this study revealed that farmers had limited understanding of the risk factors and routes of transmission of various infectious diseases of bovines, which emphasizes the need to develop and implement tailored extension programs in Pakistan to control contagious diseases of animals and to improve the profitability of small-scale dairy farmers.

The threat of global climate change has caused concern among scientists because crop production could be severely affected by changes in key climatic variables that could compromise food security both globally and locally. Although it is true that extreme climatic events can severely impact small farmers, available data is just a gross approximation at understanding the heterogeneity of small scale agriculture ignoring the myriad of strategies that thousands of traditional farmers have used and still use to deal with climatic variability. Scientists have now realized that many small farmers cope with and even prepare for climate change, minimizing crop failure through a series of agroecological practices. Observations of agricultural performance after extreme climatic events in the last two decades have revealed that resiliency to climate disasters is closely linked to the high level of on-farm biodiversity, a typical feature of traditional farming systems. Based on this evidence, various experts have suggested that rescuing traditional management systems combined with the use of agroecologically based management strategies may represent the only viable and robust path to increase the productivity, sustainability and resilience of peasant-based agricultural production under predicted climate scenarios. In this paper we explore a number of ways in which three key traditional agroecological strategies (biodiversification, soil management and water harvesting) can be implemented in the design and management of agroecosystems allowing farmers to adopt a strategy that both increases resilience and provides economic benefits, including mitigation of global warming.

A major challenge of the 21st century is to produce more food for a growing population without increasing humanity’s agricultural footprint. Urban food production may help to solve this challenge; however, little research has examined the productivity of urban farming systems. We investigated inputs and produce yields over a 1-y period in 13 small-scale organic farms and gardens in Sydney, Australia. We found mean yields to be 5.94 kg·m−2, around twice the yield of typical Australian commercial vegetable farms. While these systems used land efficiently, economic and emergy (embodied energy) analyses showed they were relatively inefficient in their use of material and labor resources. Benefit-to-cost ratios demonstrated that, on average, the gardens ran at a financial loss and emergy transformity was one to three orders of magnitude greater than many conventional rural farms. Only 14.66% of all inputs were considered “renewable,” resulting in a moderate mean environmental loading ratio (ELR) of 5.82, a value within the range of many conventional farming systems. However, when all nonrenewable inputs capable of being substituted with local renewable inputs were replaced in a hypothetical scenario, the ELR improved markedly to 1.32. These results show that urban agriculture can be highly productive; however, this productivity comes with many trade-offs, and care must be taken to ensure its sustainability.