This review studied a selection of projects from the Research Into Use (RIU) Africa portfolio: the Nyagatare maize platform in Rwanda; the cowpea platform in Kano state, Nigeria; the pork platform in Malawi, the Farm Input Promotions (FIPS) Best Bet in Kenya, and the Armyworm Best Bet in Kenya and Tanzania. For each of the selected projects, assessments were made on how it changed the capacity to innovate, the household level poverty impact, whether the intervention off ered value for money, and what were the main lessons learned.

This paper looks at the process of agricultural innovation and the contribution agricultural research can make. To be able to analyse the process of agricultural innovation, three dimensions are distinguished: 1) opportunity assessment to identify ‘entry points for change’, defined drawing on the expertise and experience of many actors; 2) experimentation under realistic circumstances, leading to ‘tested and tried promising new practices’; and 3) bringing into routine use for ‘impact at scale’, which invariably incurs in further adaptation to fit a diversity of ‘local realities’.

While the Agricultural Science and Technology Indicators (ASTI) initiative provides data and analysis of domestic public and private spending on agricultural research and development for a wide range of developing countries, the literature pays little attention, if any, to foreign assistance to agricultural, fishing and forestry research and agricultural extension. The objective of the present study is to fill this gap.

Research, extension, and advisory services are some of the most knowledge-intensive elements of agricultural innovation systems. They are also among the heaviest users of information communication technologies (ICTs). This module introduces ICT developments in the wider innovation and knowledge systems as well as explores drivers of ICT use in research and extension.

This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced significant results.

This paper presents the common framework on CD for AIS developed by TAP and points to the relevance of meta-learning and the importance of “functional capacities”, if higher education institutions and their graduates are to become active players in the agricultural innovation system. The Framework was developed through an inclusive, participatory and multi-stakeholders approach with contributions by TAP Partners, including FARA and the Global Conference on Higher Education and Research in Agriculture.

 This study explores the properties of innovation systems and their contribution to increased eco-efficiency in agriculture. Using aggregate data and econometric methods, the eco-efficiency of 79 countries was computed and a range of factors relating to research, extension, business and policy was examined. Despite data limitations, the analysis produced some interesting insights. For instance public research spending has a positive significant effect for emerging economies, while no statistically significant effect was found for foreign aid for research.

Agricultural innovation is an essential component in achieving the SDG and accelerating the transition to more sustainable and resilient farming systems across the world. Innovations generally emerge from collective intelligence and action, which requires effective agricultural innovation systems (AIS). An AIS perspective has been widely adopted, but the analysis of AIS, especially at country level, remains a challenge. The need for and potential of a diagnostic tool for AIS analysis is currently receiving attention in the global agricultural policy debate.