Agricultural innovations are seen as a key avenue to improve nutrition and health in smallholder farm households. But details of these agriculture-nutrition-health linkages are not yet well understood. While there is a broad literature on the adoption of agricultural technologies, most studies primarily focus on impacts in terms of productivity and income. Nutrition and health impacts have rarely been analyzed. In this article, we argue that future impact studies should include nutrition and health dimensions more explicitly.

The Progress towards Sustainable Agriculture initiative (PROSA) is a framework that seeks to complement ongoing efforts on the Sustainable Development Goals (SDGs), and particularly indicator 2.4.1, to support country-level assessments using data already available at the national level. Making agriculture more sustainable – productive, environmentally friendly, resilient and profitable is fundamental, as agriculture remains the main source of livelihood for the majority of the world’s poor and hungry.

This is one of a series of training modules developed following several workshops on agricultural innovation systems (AIS) and value chains development (VCD) organized for principle investigators of ASARECA’s programs in 2010 and 2011. The modules were compiled to assist in facilitating similar training that participant trainees may organize. The principle behind teaching and presenting the two concepts of innovation systems and VCD is based on the fact that they are strongly related, and there is opportunity for thinking and applying the two together in most agricultural programs.

This study was undertaken to assess the utility of remotely sensed net primary productivity (NPP) data to measure agricultural sustainability by applying a new methodology that captures spatial variability and trends in total NPP and in NPP removed at harvest. The sustainable intensification of agriculture is widely promoted as a means for achieving the Sustainable Development Goals (SDGs) and transitioning toward a more productive, sustainable, and inclusive agriculture, particularity in fragile environments.

The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.

Capacity development interventions are considered critical entry points for advancing gender equality in agricultural research systems. However, the impacts of capacity development programs are often difficult to track. Academic reviews highlight that insufficient attention is paid to the suitability of gender training programs to increase capacity and limited evidence is available on their longer-term impacts.

There is widespread need for gender-responsive agricultural research, yet the question of how this kind of research can be implemented and its success measured needs further interrogation. This paper presents a framework, developed on the basis of literature and validated by experts, for tracking the gender responsiveness of agricultural research throughout the research cycle, from the research plan to the dissemination of research findings. The framework was tested in Uganda and Rwanda on 14 research projects considered to be gender-responsive.

Bees provide a critical link in the maintenance of ecosystems, pollination. They play a major role in maintaining biodiversity, ensuring the survival of many plants, enhancing forest regeneration, providing sustainability and adaptation to climate change and improving the quality and quantity of agricultural production systems. In fact, close to 75 percent of the world’s crops that produce fruits and seeds for human consumption depend, at least in part, on pollinators for sustained production, yield and quality.

This paper analyses a monitoring, evaluation and learning (MEL) system developed within an agricultural research for development institution. The system applies aspects of the Outcome Harvesting tool and focuses on learning for adaptation and improvement of innovation processes. Developmental evaluation principles are applied to discuss its application. The MEL system provides insight into the processes and interactions with next users that generate outcomes.