In this paper the developments in agricultural research and education in the Netherlands will be presented in a historic context and the recent evolutions in agriculture-based research and knowledge systems are evaluated. It is concluded that societal needs, scientific discoveries, and public and private funding are the driving forces behind change. However, most important for the quality and vigour of knowledge centres is the ability to adapt to change
An analysis of the impact of simulation modelling in three diverse crop-livestock improvement projects in Agricultural Research for Development (AR4D) reveals benefits across a range of aspects including identification of objectives, design and implementation of experimental programs, effectiveness of participatory research with smallholder farmers, implementation of system change and scaling-out of results. In planning change, farmers must consider complex interactions within both biophysical and socioeconomic aspects of their crop and animal production activities.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.
Establishing food security remains a global challenge; it is thus a specific objective of the United Nations Sustainable Development Goals for 2030. Successfully delivering productive and sustainable agricultural systems worldwide will form the foundations for overcoming this challenge. Smart agriculture is often perceived as one key enabler when considering the twin objectives of eliminating world hunger and undernourishment. The practical realization, deployment, and adoption of smart agricultural systems remain distant due to a confluence of technological, social, and economic factors.
This report elaborates on how to use the agricultural knowledge and innovation systems framework to promote innovation at different levels with special focus on European issues related to the implementation of Horizon 2020. It is of value as a conceptual and methodological reference regarding the Agricultural Knowledge and Innovation Systems (AKIS).
This note offers a conceptual framework for dealing with 1) institutional and capacity assessment; and 2) capacity development issues, mainly in the public sector areas. This framework will be particularly useful in the in the preparation of support to sector programmes and budget support exercises.
This evaluation is being commissioned within the framework contract for Evaluation of the EC’s main policies and strategies which was signed on 10 April 2007 between the EC and a consortium led by the German company Particip and composed of ADE (Aide à la Décision Économique Belgium), DIE (Deutsches Institut für Entwicklungspolitik), DRNI (Italian Development Researchers’ Network), ECDPM (European Centre for Development Policy Management), and ODI (Overseas Development Institute).
This report is about the Directorate General for Development and Cooperation (DEVCO) approach to Agricultural Research for Development (AR4D) in the context of how well it responds to current policy priorities in sustainable agriculture, nutrition and resilience, and how it is positioned within the European and global agenda to achieve maximum impact. The approach builds on lessons learned and reviews and evaluations of research under AR4D portfolio under the Food Security Thematic Programme.
The main objective of the Guidelines is to provide a non-binding complement to other guidelines and offer advice to RDP evaluation stakeholders on how to carry out the evaluation activities for answering the common evaluation questions related to innovation. Since the RDP’s effects on innovation in rural areas can be expected to take place, most likely, in the long-term, the guidelines focus in particular on those evaluation related activities, which will be reported in the AIR in 2019 and in the ex post evaluation. The Guidelines are structured in three parts:
L’agriculture familiale est le modèle d’exploitation le plus répandu en Europe. À ce titre, elle assure depuis des siècles la prospérité du secteur. L’ambitieux cadre stratégique mis en place par l’Union européenne a été conçu pour tenir compte des différents modèles d’agriculture qui coexistent sur son territoire, en ce compris les divers types d’agriculture familiale.