Climate change is a major constraint to the progress of Africa’s agriculture, food, and nutrition security; its effect is tied to geographical position and driven by the limited adaptive capacity of the agricultural households. The most vulnerable stakeholder group are the smallholder farming households with limited resources and knowledge of adaptation and mitigation techniques. Sub-Saharan Africa owns more than 60% of the world’s arable land with over 85% of the farmers being smallholder farmers, who are predisposed to various risks. This paper analyzes the adoption of climate-smart agriculture (CSA) processes and technologies by smallholder farming households in Sub-Saharan Africa. The study used mixed methods and an integrative literature review. This review indicated that the knowledge of CSA technologies by smallholder farmers in Africa is increasing and, thus, concerted efforts to continuously generate CSA technology would contribute to the desired positive outcome. To accelerate the pace of adoption and use of the technologies, the linkage of farmers, researchers, and extension practitioners is needed. Measures should also be put in place to ensure that CSA actions are implemented using bottom-up approaches.
The case for demand-driven research and development has received important considerations among governments, donors and programme implementing partners in development planning and implementation. Addressing demand is believed to be a bottom-top approach for designing and responding to development priorities and is good for achieving development outcomes. In this paper, we discuss the concept and application of demand-driven research and development (DDRD) in Africa. We use evidence of six projects implemented under the BiomassWeb Project in Africa. We focus on parameters on level of engagement of stakeholders—whose demand is being articulated, the processes for demand articulation, capacity building and implementation processes, innovativeness of the project, reporting and sustainability of the project. We find that the nature of the institutions involved in articulation and implementation of demand-driven research and development projects and their partnerships influence the impact and reporting of demand-driven projects.
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