CONTEXT

The paper aim and novelty is the development of technology-based tools able of providing realistic insights on farmers’ future adaptation decisions by developing an ML algorithm to predict Climate-Smart Agriculture (CSA) practices and highlight mo

Several countries across the developing world have designed and implemented agricultural export incentives. However, little is known about the effects of these policies on various aspects of domestic food security.

In many developing countries, poor delivery of public services remains an important problem.

Agricultural advisory services are generally biased towards men, with information targeted mainly to male members within the household, and in formats that often reinforce male dominance in agricultural decision-making.

Food insecurity remains a serious challenge for many households in Africa and the situation is even more prevalent among young people. However, there is a dearth of empirical evidence on youth food security status in Africa.

Considerable literature from low- and lower-middle-income countries (LLMICs) links maternal employment to child nutritional status.

Although scientific climate forecast (SF) distribution by national climate services has improved over time, farmers seem not to make good use of climate forecasts, a likely contributing factor to vulnerability to climate change.

In low- and middle-income countries, poor cooperation between members of smallholder agricultural households may lead to inefficient allocation of productive resources.

Efforts to increase smallholder access to improved varieties and quality seed is often central to agricultural development, economic growth and poverty reduction in low-income countries.

To gain a better understanding of intrahousehold bargaining processes, surveys increasingly collect data from co-heads individually, especially on decision-making, asset ownership and labour contributions.

In situations with imperfect information, the way that value chain actors perceive each other is an important determinant of the value chain's structure and performance.

Despite women's large contributions to agricultural production in developing countries, they are often excluded from market-facing activities. There is little evidence on how to increase their participation in commercial agriculture.

Vulnerabilities of men and women to adverse health effects due to weather variability and climate change are not equal. Uganda was among the countries in the world most affected by extreme weather events during the last decade.

An enabling, evidence-based decision-making framework is critical to support agricultural biotechnology innovation, and to ensure farmers’ access to genetically modified (GM) crops, including orphan crop varieties.

Differences in world market participation and access to value chain technologies have resulted in uneven experiences across countries. In this paper, we explore their impact on prices in the value chain, using the example of Ethiopia and Uganda.