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.

The book contains seven chapters that exhaustively covers the Innovation Opportunities in Mango production in Mali and make a smart proposition on the plausible pathway to ensure that agricultural technologies delivers a vibrant and economically sustainable agrarian sector. This book make an analysis about the mango food chain in Mali and discuss about the constraints regarding the production, productivity, and profitability

This study presents detailed examples of how repeat Sénékéla users have changed their farming and marketing practices, and the reasons underpinning these changes. Data was collected through a series of semi structured interviews with repeat Sénékéla users. The findings of the case study serve to complement quantitative data about customer behavior change that was collected through a structured survey with 50 customers from Mali

The study is conducted in Sikasso, Koulikoro and Mopti regions on small scale irrigation systems for providing information and proposing solutions to decision makers. The expected outputs/outcomes of the project include: (i) Documentation of water resources available in Mali, (ii) identification of small scale irrigation technologies available in Mali, (iii) selection of technologies suitable for different regions in the country, (iv) Assessment of social and economic profitability of selected technologies

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.