This is the first chapter of the book "Innovation platforms for agricultural development: Evaluating the mature innovation platforms landscape". It introduces the background, case study competition process, case study characterization and readers’ guide, and book outline. Characterization of the case studies includes their geographical spread, age and life stage of the platforms, and specific information on the multi-stakeholder processes, the content matter, platform support functions, and outcomes and impacts.
This is a chapter of the book Innovation Platforms for Agricultural Development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
This is a chapter of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari.
The chapter is a part of the book Innovation platforms for agricultural development edited by Iddo Dror, Jean-Joseph Cadilhon, Marc Schut, Michael Misiko and Shreya Maheshwari. It introduces the background for the setting up of innovation platforms (IPs), initiation and function of the three IPs in Ethiopian highlands, innovation fund to support fodder development, the role of different actors in scaling up, outcomes and impact of the intervention, and lessons learned.
Farmers in the Lake Victoria crescent zone have over the years struggled with pests and diseases in a country full of fake agricultural inputs, access to markets, post-harvest losses, declining soil fertility and the changes of weather. The production for most farmers is rain fed and is greatly affected by climatic changes. The Mukono Wakiso innovation platform (IP) was formed to help farmers find solutions to these issues.
Heat-tolerant wheat varieties, developed by ICARDA and Sudan’s Agricultural Research Corporation (ARC), are helping farmers adapt to the heat stress, however, bringing higher and more stable yields. Farmers across the wheatproducing regions of Sudan are now achieving up to six t/ha over successive growing seasons.
ICARDA scientists along with CGIAR LIVESTOCK developed a cloud-based genetic database platform to boost breed improvement programs in community-based livestock breeding programs in Ethiopia.
- Lack of automated data capture systems affects timely feedback and accuracy of information for breeding decisions.
- CGIAR researchers and national research partners have adopted a digital genetic database, Dtreo, that is enhancing genetic improvement by providing timely and accurate animal ranking information to communities.
- Dtreo is a digital genetic database that is flexible and easy to use, that allows users to capture and save data offline. Data is uploaded to the database once an internet connection has been established.
Agricultural extension in the Global South can benefit greatly from the use of modern information and communication technologies (ICT). Yet, despite two decades of promising experiences, this potential is not fully realized. Here, it is reviewed the relevant research literature to inform future investments into agricultural information services that harness the full potential of digital media.The study describes a recently emerging innovation agenda that is, in part, a response to the eventualfailure of many new agro-advisory initiatives.