This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008. The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a section on the way forward as suggested by the workshop participants. It also includes a first attempt to come to a consolidated generic framework on AIS performance indicators, based on the outputs of the different working groups.
This publication provides a collection of papers, commentaries, expert opinions and reflections on state-of-the-art innovation systems thinking and approaches in agriculture. It is the direct output of a CTA and WUR/CoS-SIS collaboration which had its genesis in an expert consultation on ‘Innovation Systems: Towards Effective Strategies in support of Smallholder Farmers’.
Over the years, CTA has contributed to building ACP capacity to understand innovation processes, strengthen the agricultural innovation system and embed innovation thinking in agricultural and rural development strategies. The CTA Top 20 Innovations project set out to prove that innovation is taking place in ACP agriculture and in the process has demonstrated that smallholder farmers are beneficiaries as well as partners in agricultural innovation.
Rather than merely supporting R&D and strengthening innovation systems, the focus of innovation policy is currently shifting towards addressing societal challenges by transforming socio-economic systems. A particular trend within the emerging era of transformative innovation policy is the pursuit of challenge-based innovation missions, such as achieving a 50 % circular economy by 2030. By formulating clear and ambitious societal goals, policy makers are aiming to steer the directionality and adoption of innovation.
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.
Based on international literature, preliminary experiences in a three-country West African research programme, and on the disappointing impact of agricultural research on African farm innovation, the current paper argues that institutional change demands rethinking the pathways to innovation so as to acknowledge the role of rules, distribution of power and wealth, interaction and positions. The time is opportune: climate change, food insecurity, high food prices and concomitant riots are turning national food production into a political issue also for African leaders.
This paper builds on experiences from the Research Into Use programme in South Asia that tried to up-scale promising research outputs into wider use. The experience suggests that while facilitating access to technology is important in putting research into use, it has value only when it is bundled together with other innovation-management tasks such as: developing networks, organising producers, communicating research needs, mediating conflicts, facilitating access to inputs and output services, convening innovation platforms, and advocating for policy change and other negotiated changes in
This research project aims to build ACP capacity to better understand the strengths and weaknesses of the local science, technology and innovation system in the agricultural sector.
The provision of basic market information is a service that aims to increase the efficiency of agricultural markets and contribute towards overcoming basic issues of market failure based on asymmetrical access to information. However, debate on the need for long-term support to a market information system (MIS) continues. A quantitative and qualitative survey was undertaken to provide a measure of accessibility, usefulness and utility of the current MIS, and to access how this type of service may be financed and improved in the future.