Chickpea is an important crop in Ethiopia, but yields and grain quality remain poor. To help unlock the full potential, CDAIS has supported the value chain around the northern city of Gondar since 2016, in partnership with the N2Africa project. As a result of new platforms, experience sharing and developing a combination of new organisational skills and behavioural change, research and extension support services stopped telling and started listening, and joined forces in innovating together with farmers.
To ensure food security, farmers must have access to quality seed, in adequate quantities. The government of Ethiopia acknowledges this, and has responded by investing in improving the seed sector. However, as this example shows, not all challenges can be overcome by technical training and new technologies alone. A large seed cooperative union was faced with a problem that seriously affected their very existence. And the solution was not technical.
“I see mindset shifts being promoted by CDAIS says Gemechu Nemie, director of the Ethiopian Animal Feed Industry Association (EAFIA) and a key member of the livestock feed safety and quality innovation niche. And this is the sort of change that the CDAIS project is beginning to engender, as partners start to implement approaches that better promote innovation in agriculture, by inspiring small and simple personal revolutions… Ethiopia is one of eight CDAIS pilot countries, and within each, several ‘niches’ or ‘innovation partnerships’ have been selected.
The aim of the book is to present contributions in theory, policy and practice to the science and policy of sustainable intensification by means of technological and institutional innovations in agriculture. The research insights re from Sub-Saharan Africa and South Asia. The purpose of this book is to be a reference for students, scholars and practitioners inthe field of science and policy for understanding and identifying agricultural productivity growth potentials in marginalized areas.
The report introduces 30 young innovators, 21 featured with full stories, and nine other "innovators to watch". They come from countries including Barbados, Botswana, Cameroon, Côte d'Ivoire, Kenya, Nigeria, Uganda, Jamaica, Senegal, Tanzania. The publication presents a multidimensional picture of the emerging field of ICT entrepreneurship in agriculture in developing countries. It describes challenges but also successes already achieved. It contains advice for aspiring agtech entrepreneurs as well as recommendations from youth on how to support their ventures.
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.
The TOWS Matrix is derived from the SWOT Analysis model. The SWOT analysis is based on two factors; internal factors (Strengths and Weakness) and external factors (Opportunities and Threats). For an organisation to function at the best of its potential, these tools should be utilised at the beginning of the year. This article shows how important these tools are important in an organisation.
Este folleto describe brevemente el proyecto "Desarrollo de Capacidades para los Sistemas de Innovación Agrícola en El Salvador", implementado por la FAO en conjunto con el Centro Nacional de Tecnología Agropecuaria y Forestal “Enrique Álvarez Córdova” (CENTA), del Ministerio de Agricultura y Ganadería (
FAO and the Centre de Cooperation Internationale pour la Recherche et le Developpement Agricole (CIRAD) organized an expert consultation workshop on developing a methodology for assessing agricultural innovation systems. The meeting was held on 13–15 June 2018 at CIRAD Headquarters in Paris. It brought together 30 experts from academia, research, extension, the private sector, development agencies and government representatives.
The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.