There is an ongoing debate on what constitutes sustainable intensification of agriculture (SIA). In this paper, we propose that a paradigm for sustainable intensification can be defined and translated into an operational framework for agricultural development. We argue that this paradigm must now be defined—at all scales—in the context of rapidly rising global environmental changes in the Anthropocene, while focusing on eradicating poverty and hunger and contributing to human wellbeing.

The purpose of this study was to generate information that provide comprehensive understanding of the constraints of tree-crop-livestock farming system in four sites of the Africa RISING project in Ethiopia. The study identified relevant institutions in the study locations to develop modalities for establishment of Innovation Platform (IP). The identified institutions were gathered together to identify and prioritize problems and consult on the improvement of mixed farming system in their area.

This paper describes the learning selection approach to enabling innovation that capitalizes on the complexity of social systems at different scales of analysis. The first part of the paper describes the approach and how it can be used to guide the early stages of setting up a “grassroots” innovation process. The second part of the paper looks at how the learn selection model can be used “top-down” to guide research investments to trigger large-scale systemic change.

The CGIAR Research Program on Integrated System for the Humid Tropics, or Humidtropics, works towards transforming the lives of the rural poor in several action sites in Asia, Africa and Tropical America. In doing so, different technologies and innovations were implemented and while at first the capacity development was going on almost intuitively, as an integrated part of the implementation process, it has soon become clear that such groundbreaking activities and ideas require a more organized and supervised approach.

Empirical studies on agricultural technology adoption generally divide a population into adopters and nonadopters, and analyse the reasons for adoption or nonadoption at a point in time. In reality, technology adoption is not a one-off static decision, rather it involves a dynamic process in which information gathering, learning and experience play pivotal roles, particularly in the early stage of adoption. A conceptual framework for an adoption pathway is suggested in which farmers move from learning to adoption, to continuous or discontinuous use over time.

The sustainable agricultural intensification research and learning in Africa (SAIRLA) project is a five-year program (2015–2020) funded by the UK Department of International Development. The project seeks to generate new evidence and design tools to enable governments, investors and other key actors to deliver more effective policies and investments in sustainable agricultural intensification (SAI) that strengthen the capacity of poorer farmers’, especially women and young people, to access and benefit from SAI.

This chapter is a part of the book Integrated Agricultural Research for Development: from Concept to Practice. It focuses on the development and implementation of action plans for innovation platforms (IPs). The chapter introduces the constitution of committees, IP operationalisation, the case of IP functioning in the Democratic Republic of Congo, and post-formation issues for IPs.

The International Center for Tropical Agriculture (CIAT) implements participatory monitoring and evaluation (PM&E) systems as a means of strengthening learning, self-reflection and facilitating institutional learning and change (ILAC) processes within Research and Development (R&D) institutions and local communities in Africa.

Social structure, especially in the form of social networks, affects the adoption of agricultural technologies. In light of an increasing focus on new demand-driven agricultural extension approaches that leverage social networks as an opportunity, too little is known about (a) which network characteristics matter? and (b) how do specific network characteristics matter? This paper investigates the impact of social networks in relation to smallholder dairy production technology adoption in Ethiopia.

The International Livestock Research Institute (ILRI) and the Ministry of Agriculture (MoA) initiated a 5 year project in June 2004 with the financial assistance from the Canadian International Development Agency (CIDA). The project, entitled: “Improving productivity and market success” (IPMS) of Ethiopian farmers, aims at contributing to a reduction in poverty of the rural poor through market oriented agricultural development.