This paper analyses a monitoring, evaluation and learning (MEL) system developed within an agricultural research for development institution. The system applies aspects of the Outcome Harvesting tool and focuses on learning for adaptation and improvement of innovation processes. Developmental evaluation principles are applied to discuss its application. The MEL system provides insight into the processes and interactions with next users that generate outcomes.
Dans un contexte de controverse sur la capacité des modèles agricoles à répondre conjointement aux enjeux alimentaires, environnementaux et de développement en Afrique, nous analysons les conditions de viabilité d’une agriculture à caractère biologique au Cameroun. La démarche mobilise une enquête par entretiens semi-directifs auprès des acteurs engagés dans les filières de production biologique et une mise en débat des connaissances générées lors d’ateliers participatifs multi-acteurs. Elle met en interaction les connaissances scientifiques, entrepreneuriales et techniques.
La crise économique et sanitaire due à la Covid-19 interpelle les trajectoires de reconfiguration des systèmes alimentaires en République du Congo. Elle questionne la capacité des mesures de régulation prises par les pouvoirs publics et des stratégies d’adaptation des acteurs à induire des inflexions dans la gouvernance structurelle du système alimentaire du pays. L’article analyse les stratégies d’adaptation à la crise en mobilisant des données secondaires et des expériences d’accompagnement de politiques publiques agricoles et alimentaires conduites par les auteurs.
The poor performance of agriculture in sub-Saharan Africa is known to be largely due to the lack of effective and client- responsive agricultural research and development that could generate appropriate technologies and innovations to stimulate the agricultural development process. As a contribution to address this challenge, the Forum for Agricultural Research in Africa (FARA), with support from the United Kingdom’s Department for International Development (DFID), developed a project for Strengthening Capacity for Agricultural Research and Development in Africa (SCARDA).
This review studied a selection of projects from the Research Into Use (RIU) Africa portfolio: the Nyagatare maize platform in Rwanda; the cowpea platform in Kano state, Nigeria; the pork platform in Malawi, the Farm Input Promotions (FIPS) Best Bet in Kenya, and the Armyworm Best Bet in Kenya and Tanzania. For each of the selected projects, assessments were made on how it changed the capacity to innovate, the household level poverty impact, whether the intervention off ered value for money, and what were the main lessons learned.
The question of how agricultural research can best be used for developmental purposes is a topic of some debate in developmental circles. The idea that this is simply a question of better transfer of ideas from research to farmers has been largely discredited. Agricultural innovation is a process that takes a multitude of different forms, and, within this process, agricultural research and expertise are mobilised at different points in time for different purposes. This paper uses two key analytical principles in order to find how research is actually put into use.
Although innovation is understood to encompass much more than R&D, science continues to be an essential ingredient. In particular translation, adaptation and ‘valorisation’ of research results, the responsiveness of research to users’ needs and improved access to results are all regarded as important in achieving a more sustainable European agriculture. These challenges can be addressed in a number of ways including increased collaboration, networking, transdisciplinary research and co-operation between researchers and practitioners.
The report synthesises the research conducted under the PRO AKIS project for the topic "Designing, implementing and maintaining agricultural/rural networks to enhance farmers’ ability to innovate in cooperation with other rural actors".
Recently, Agricultural Knowledge and Innovation Systems (AKISs) have gained considerable attention in scientific and political forums in the European Union (EU). AKIS is considered a key concept in identifying, analysing and assessing the various actors in the agricultural sector as well as their communication and interaction for innovation processes. Using qualitative expert interviews and organizational mapping, the features of national AKISs were investigated in selected EU member states (Belgium, France, Ireland, Germany, Portugal and the UK).
The main objective of this paper is to describe the AgroFE and Agrof-MM projects. This projects aims to develop an agroforestry training system based on a common framework and core content, and to promote training at European level. The knowledge databank is a component of the project training system. It aims to gather and share a set of documents, resources that partners can use and which will have been accessed by learners and the public users.