This paper presents the processes, general guidelines lessons and experiences pertaining to “good practices” for organizing and forming Agricultural Innovation Platforms in the Lake Kivu Pilot Learning Site, covering three countries (Uganda, Rwanda and Democratic Republic of Congo) with widely differing social political environments to address agricultural development challenges.
The central question in increasing productivity and generating incomes in African agriculture is how to move from technology generation to innovations that respond to constraints of agricultural production along the value chains. This question was considered in the context of subsistence agriculture, smallholder production systems, inefficient marketing and investments by the private sector, a preponderance of public interventions, and inadequate policies.
This flyer is about the AgriFood chain toolkit, which has been launched in 2013 by the CGIAR programme on Policies, institutions and markets.The AgriFood chain toolkit acts as a clearing house and learning platform – using the power of information and communication technologies to bring together people and resources.
Le projet CALAO – Capitalisation d’expériences d’acteurs pour le développement de techniques agroécologiques résilientes en Afrique de l’Ouest – a été mis en œuvre au cours de l’année 2017 dans le cadre du Projet d’appui à la sécurité alimentaire en Afrique de l’Ouest (PASANAO), financé par l’AFD et dont la maîtrise d’ouvrage est assurée par la CEDEAO.
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.
This paper is a case study of capacity strengthening activities carried out at the Agricultural Research Corporation in Sudan between July 2008 and March 2011. These activities were undertaken through the project ‘Strengthening Capacity for Agricultural Research and Development (SCARDA)’ which was implemented in the East and Central Africa region by the Association for Strengthening Agricultural Research in East and Central Africa.
This innovation story narrates the experience of Improving Productivity and Market Success (IPMS) project on innovative banana value chain development in Metema district, Amhara, Ethiopia. The project introduced banana production systems in the district for the first time in 2005. IPMS together with the stakeholders provided support along the banana value chain on production, in put supply and marketing.
This presentation was given for the SEARCA Forum-workshop on Platforms, Rural Advisory Services, and Knowledge Management: Towards Inclusive and Sustainable Agricultural and Rural Development, Los Banos, 17-19 May 2016. It briefed innovation, innovation systems and multistakeholder processes (innovation platforms and learning alliances).
Ce guide s’adresse aux professionnels du monde rural, et au-delà, aux professionnels du développement (ONG d’appui, groupements, organisations paysannes, etc.) qui mettent en place et animent des services d’information. Le rôle de l'information est déterminant dans la pratique professionnelle. Elle est nécessaire au renforcement des connaissances et des compétences des acteurs, comme aide à l'action, à l'innovation et à la résolution des problèmes. Pour cela, elle doit être opérationnelle, pratique et directement utilisable.
Este documento presenta los resultados de la primera parte de la consultoría realizada para el RIMISP-Centro Latinoamericano para el Desarrollo Rural. El objetivo de la consultoría es: “contar con un análisis sobre productividad de la ganadería de carne de la Costa del Ecuador, tanto por hectárea, como por persona empleada, diferenciando por niveles tecnológicos y tipos de productores.