This report highlights the great potential of the agribusiness sector in Africa by drawing on experience in Africa as well as other regions. The evidence demonstrates that good policies, a conducive business environment, and strategic support from governments can help agribusiness reach its potential. Africa is now at a crossroads, from which it can take concrete steps to realize its potential or continue to lose competitiveness, missing a major opportunity for increased growth, employment, and food security. The report pursues several lines of analysis.
Facilitation has proved crucial for enabling the interaction of Agricultural Innovation System (AIS) actors to address the target and to innovate. This “Guide on training of facilitators of multi-actor agricultural innovation platform” is aimed at serving facilitators when multi-actor agricultural innovation platforms (MAIPs) are organized. Since MAIPs are still an emerging concept, there are not many cases to refer to.
Innovation Platforms are increasingly being proposed and used in agricultural research for development project and programs. Innovation Platforms provide space to farmers, agricultural service providers, researchers, private sector and other stakeholders to jointly identify, analyse and overcome constraints to agricultural development. Although innovation platforms have been successful in addressing agricultural challenges, there is a risk that they are promoted as a panacea for all problems in the agricultural sector... which would clearly be a big mistake.
This document provides guidelines for Innovation Platform (IP) facilitation and the monitoring and evaluation (M&E) of IP processes and outcomes. Although it has been written for PROGEBE (project on ‘Sustainable management of globally significant endemic ruminant livestock of West Africa) staff at the site, national and regional levels, it is believed to have wider relevance beyond this specific project and specifically applies to projects which have a similar structure.
The Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) program comprises three research-for-development projects supported by the United States Agency for International Development as part of the U.S. government’s Feed the Future initiative. Through action research and development partnerships, Africa RISING will create opportunities for smallholder farm households to move out of hunger and poverty through sustainably intensified farming systems that improve food, nutrition, and income security, particularly for women and children, and
La Red Agricultura G-20 ha sido una iniciativa conjunta del Instituto Interamericano de Cooperación para la Agricultura (IICA) y la Secretaría de Agricultura, Ganadería, Desarrollo Rural, Pesca y Alimentación (SAGARPA) de México, de cara a la VII Cumbre del Grupo de los 20 (G20). El objetivo de esta red virtual fue vincular a estudiantes, académicos y el sector civil para que expresaran sus opiniones y analizaran a profundidad los temas de la agricultura con miras al encuentro de líderes del G20, celebrado en la ciudad mexicana de Los Cabos en junio de 2012.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
Classical innovation adoption models implicitly assume homogenous information flow across farmers, which is often not realistic. As a result, selection bias in adoption parameters may occur. We focus on tissue culture (TC) banana technology that was introduced in Kenya more than 10 years ago. Up till now, adoption rates have remained relatively low.
This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.