The rapid transformation of agri-food value chains in Africa and other developing countries has important implications for economic growth and poverty reduction. Policy makers increasingly recognize this but there is a need for a better understanding of what value chain transformation entails and what the main policy options are. This paper provides an overview and analysis of different value chain models that have emerged in the past decades and reviews the literature on the main development implications.

Facilitation has proved crucial for enabling the interaction of Agricultural Innovation System (AIS) actors to address the target and to innovate. This “Guide on training of facilitators of multi-actor agricultural innovation platform” is aimed at serving facilitators when multi-actor agricultural innovation platforms (MAIPs) are organized. Since MAIPs are still an emerging concept, there are not many cases to refer to.

Innovation has a high potential for increasing productivity and farmers’ income,l and consequently reducing poverty and improving food security. However several tropic al countries lack the resources and capacities to suitably develop their agricultural innovation systems. To address this gap, the g20 established the tropical agriculture platform (tap), a multilateral dynamic facilitation mechanism, which fosters better coherence and greater impact of capacity development for agricultural innova tion systems in tropical countries.

Prior to the COVID-19 pandemic, young entrepreneurs in agrifood systems in sub-Saharan Africa were already facing a number of challenges. The main challenges include limited access to natural resources, finance, technology, knowledge and information, and insufficient participation in policy dialogues and other decision-making processes. The COVID-19 pandemic and its disruptions to agricultural value chains are presenting additional hurdles for these agripreneurs.

Mobile phone use is increasing in Sub-Saharan Africa, spurring a growing focus on mobile phones as tools to increase agricultural yields and incomes on smallholder farms. However, the research to date on this topic is mixed, with studies finding both positive and neutral associations between phones and yields. In this paper we examine perceptions about the impacts of mobile phones on agricultural productivity, and the relationships between mobile phone use and agricultural yield.

TECA is an FAO online platform for the exchange and sharing of agricultural technologies and practices for smallholder farmers and producers. The platform facilitates the transformation process in rural areas by making relevant and innovative technologies available to farmers in the field. In doing so, TECA further enhances the access to knowledge of smallholder producers in rural areas increasing their capacity to innovate and contribute to achieving the Sustainable Development Goals (SDGs).

This study explores one of the most important questions for alleviating poverty in sub-Saharan Africa, why are advancements in agricultural technology not taking root in this region? Using data from deep interviews of 42 small-scale farmers in Ghana and Cameroon, a conceptual analysis of drivers and factors of agricultural technology adoption in this region is made and represented as causal loop diagrams. Interviews also provide a basis for weighting factors that farmers consider before adopting a new technology.

This study examines the influence of farmers’ social capital on their decisions to deal with climate change and climate variability in Burkina Faso. The study is based on a household survey conducted among 450 households, randomly selected from three communities in Burkina Faso.

This study established physicochemical and sensory characteristics of virgin olive oils (VOOs) and linked them to consumers’ liking using external preference mapping. We used five Tunisian and two foreign VOO varieties produced by two processing systems: discontinuous (sp) and continuous three-phase decanter (3p). The samples were analyzed and evaluated by a panel of 274 consumers. The external preference mapping revealed five VOO clusters with a consumer preference scores rating from 40% to 65%.