African agriculture is currently at a crossroads, at which persistent food shortages are compounded by threats from climate change. But, as this book argues, Africa can feed itself in a generation and help contribute to global food security. To achieve this Africa has to define agriculture as a force in economic growth by: advancing scientific and technological research; investing in infrastructure; fostering higher technical training; and creating regional markets.
The first phase in the development of the Common Framework on Capacity Development for Agricultural Innovation systems (CD for AIS) consisted of the review of the existing literature, building up a repository of relevant documentation on agricultural innovation in general and AIS and CD for AIS. This report summarizes this first phase. In particular, Section 1 covers this brief introduction. Sections two and three focus on the review of relevant literature, presenting the methodology used and the structure of the repository itself.
Four types of scaling are discussed in this brief. The first two focus on ways individual technologies or interventions are taken to scale through platforms. The third is when a platform adjusts to address different scales. The fourth is when the innovation platform approach is replicated. This brief is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.
The case studies use a framework developed jointly by Katalyst project and Springfield Centre to capture changes of market systems supported by the project. They describe developments in input markets of vegetable, farmed fish and in the maize production and how they contribute to an inclusive economic growth with benefits for small and poor farmers and for private companies in Bangladesh.
he agricultural sector is under increasing pressure to bridge a growing concern for hunger and economic deprivation. At the centre of discussion is increase in agricultural productivity at a scale increasingly complex. This complexity challenges the capacity of both extension workers, farmers, farming systems and even the environment. This means that what matters for agricultural development and achieving the above situation is the capability of people to be effective and productive economic agents. It is here that capacity building comes in.
This paper identifies the stakeholders of System of Rice Intensification (SRI), their roles and actions and the supporting and enabling environment of innovation in the state as the elements of the Agricultural Innovation Systems (AIS) in SRI in Tripura state of India and studies the relationship matrix among the stakeholders. Methodology: A descriptive research design was followed to study the agricultural innovation system in SRI.
Innovation platforms are widely used in agricultural research to connect different stakeholders to achieve common goals. This brief deals with the gender dimension in innovation platform and is part of the series of ‘practice briefs’ intended to help guide agricultural research practitioners who seek to support and implement innovation platforms.
This paper illustrates already practiced models and strategies of high impact innovations around the world with particular respect to India. The shown examples of innovative businesses were selected based on four criteria reflecting their innovative character. Firstly, innovations need to fulfil a value for the life of people which exceeds the mere use of the product. Secondly, it requires good quality products or service for an affordable price even for lower income groups.
This document provides an overview of the Tropical Agriculture Platform and highlights its main goals and activities.
This article studies the impact of innovation platforms in Tanga Region, Tanzania, set up by the MilkIT dairy development project to intensify smallholder production through feed enhancement and value chain approaches. The conceptual framework used builds up from three socio-economic theories. The Structure-Conduct-Performance model of markets contributes its elegant assumption, linking the way markets are organized with how market actors behave, which has an influence on market performance.