Agricultural knowledge and innovation systems (AKIS) are in transition in many countries from a linear, top-down approach towards more flexible and interactive arrangements. This transition to a system more responsive to changing demands seeks to improve the adoption of innovation in order to strengthen the competitiveness of the agri-food sector. This article focuses on the research and innovation components of the AKIS to analyse the main developments of recent years and their drivers.
This document sets out how EU Research and Innovation (R&I) policy contributes to the major global challenge of ensuring food and nutrition security (FNS). It is a first step in the further development of a more coherent approach to European R&I which aims at mobilising resources and stakeholders to set out aligned R&I agendas in response to recent international political drivers such as the Sustainable Development Goals and the COP 21 climate commitments.
This paper offers a perspective on the Agricultural Knowledge and Innovation System. The first chapter gives an introduction to the subject and explains the role of SCAR and of the Strategic Working Group AKIS. The second chapter investigates the AKIS and their role in innovation, including the policy context of the European Innovation Partnership “Agricultural productivity and sustainability”. Chapter 3 discusses the relation in a globalised world between Agricultural Research (AR) and Agricultural Research for Development (ARD).
Traditional approaches to innovation systems policymaking and governance often focus exclusively on the central provision of services, regulations, fiscal measures, and subsidies.
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.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal.
La production et la commercialisation de lait en Afrique de l’Ouest fait partie intégrante de l’économie et du mode de vie des familles d’éleveurs ruraux. La filière présente des potentiels de croissance certains avec un cheptel important, un secteur de la transformation dynamique et des débouchés en forte augmentation du fait de la croissance démographique et de l’urbanisation. Cette filière lait local est cependant aux prises à de nombreuses difficultés internes qui limitent fortement son développement.
This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal. A CSV model is a participatory integrated approach using climate information, improved context-based technologies/practices aiming at reaching improved productivity (food and nutrition security), climate resilient people and ecosystem and climate mitigation.
Recently, a new approach to extension and climate information services, namely Participatory Integrated Climate Services for Agriculture (PICSA) has been developed. PICSA makes use of historical climate records, participatory decision-making tools and forecasts to help farmers identify and better plan livelihood options that are suited to local climate features and farmers’ own circumstances.