The purpose of this study is to develop a robust, rigorous and replicable methodology that is flexible to data limitations and spatially prioritizes the vulnerability of agriculture and rural livelihoods to climate change. The methodology was applied in Vietnam, Uganda and Nicaragua, three contrasting developing countries that are particularly threatened by climate change. We conceptualize vulnerability to climate change following the widely adopted combination of sensitivity, exposure and adaptive capacity.

The purpose of this study is to explore the factors that drive producers to market their products through Community Support Agriculture (CSA) by using a county-level data set from the US.

As social and ecological problems escalate, the role of collective capacity and knowledge is becoming more critical in reaching solutions. This capacity and knowledge are dispersed among diverse stakeholder organizations. Thus, organizations in the private, public and civil society sectors are experiencing pressure to address these complex challenges through collaborative action in the form of multi-stakeholder partnerships.

Latin America has historically been a vanguard of agroecology. In Nicaragua, an agroecological transition is occurring, with three decades of building a groundswell based on the farmer-to-farmer movement and the recent institutionalization of agroecology in national law. Yet, problems remain with agroecology’s diffusion. We introduce the Technological Innovation Systems approach to examine systemic barriers to the agroecological transition and cycles of blockages caused by barriers’ interactions.

This paper draws from interviews with (1) US farmers who have adopted automated systems; (2) individuals employed by North American firms that engineer, manufacture, and/or repair these technologies; and (3) US farm laborers (immigrant and domestic) and representatives from farm labor organizations. The argument draws from the literature interrogating the fictional expectations that underlie capitalist reproduction, reading it through a distributed (ontological) lens.

This paper collects and examines the experiences of the leaders of the U.S. North Central Region’s entire set of farm link services, including both active and closed programs. The research question explored is, what do farm link program leaders view as best practices in serving the needs of farm seekers and farm owners who do not have a family successor, and what do their recommendations suggest for investment and policy going forward?

Small trading activities are a prevalent form of self-employment in developing countries, but their integration into supply value chains is not efficient, especially when it comes to perishable produce. This study tests a novel approach to improve their efficiency by reducing the time and cost of sourcing produce by aggregating purchases through the use of an app and centralized distribution system. Fruit and vegetable vendors in Bogotá currently travel most days to a central market to purchase produce, incurring substantial time and monetary costs.

The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.