This book collects 24 stories of change from the EU-funded CDAIS project. Launched in 2015, the overall objective of CDAIS is to make agricultural innovation systems more efficient and sustainable in meeting the demands of farmers, agri-business and consumers. The stories are about the eight pilot countries - in Africa, Asia and Latin America - in which CDAIS operates. Countries and title of the 24 stories are provided below, with date of last update for each story.
Angola:
01) From farm to agri-business (February 2018)
This Country Private Sector Diagnostic (CPSD) identifies opportunities to stimulate sustainable economic growth and development by harnessing the power of the private sector in Angola. Applying a sectoral lens, it leverages the private sector’s knowledge and experience to accelerate transformational investment. It also puts forward operational recommendations highlighting strategic entry points for diversification and growth, while addressing key constraints to private sector engagement. The CPSD discusses implementation principles inspired by international good practices.
Esta guía del Proceso de Acompañamiento fue preparada bajo el proyecto Desarrollo de Capacidades para Sistemas de Innovación Agrícola (CDAIS), una asociación global (Agrinatura, FAO y ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes involucradas para innovar en sistemas agrícolas complejos y así lograr mejores medios de vida en las zonas rurales. CDAIS utiliza un enfoque de ciclo de aprendizaje continuo para apoyar los sistemas nacionales de innovación agrícola en ocho países de África, Asia y América Central.
Ce guide du processus de coaching a été préparé dans le cadre du projet Développement des capacités pour les systèmes d'innovation agricole (CDAIS), un partenariat mondial (Agrinatura, FAO et huit pays pilotes) qui vise à renforcer la capacité des pays et des principales parties prenantes à innover dans des systèmes agricoles complexes, ce qui permet l'amélioration des moyens de subsistance en milieu rural. Le CDAIS utilise une approche de cycle d'apprentissage continu pour soutenir les systèmes nationaux d'innovation agricole dans huit pays d'Afrique, d'Asie et d'Amérique centrale.
Angola has so much potential as an agricultural country, with up to 50 million hectares that could be cultivated. But why
According to the authors of this paper, actual methods of scaling are rather empirical and based on the premise of ‘find out what works in one place and do more of the same, in another place’. These methods thus would not sufficiently take into account complex realities beyond the concepts of innovation transfer, dissemination, diffusion and adoption. As a consequence, scaling initiatives often do not produce the desired effect.
This report is divided in three studies about the Agricultural Innovations, Innovation Platforms and Innovation Investiment in Cameroon.
The farmer field school (FFS) concept has been widely adopted, and such schools have the reputation of strengthening farmers’ capacity to innovate. Although their impact has been studied widely, what is involved in their scaling and in their becoming an integral part of agricultural innovation systems has been studied much less. In the case of the Sustainable Tree Crops Programme in Cameroon, we investigate how a public–private partnership (PPP) did not lead to satisfactory widespread scaling in the cocoa innovation system.
How do the innovation platforms and facilitated networks currently deployed in the Global South help trigger dynamics of collaborative innovation that can be useful for the agroecological transition? What are the difficulties encountered and how can they be overcome? This chapter throws lights on these questions. The first part justifies the interest in studying the ecologisation of agriculture through the prism of collaborative innovation and of its paradoxes.
This work examined the determinants of the adoption of improved Irish potato technologies by farmers in three divisions of the Western Region of Cameroon. Data were collected from 170 farmers from 14 villages in our study area using a mixed-method approach—structured questionnaires, focus group discussion, key informant interviews, and participatory observations with individual farmers and farmers belonging to cooperative and common initiative groups. The study employed descriptive statistics and regression analysis to assess the adoption status of farmers and its determinants.