Presentation by Quintin Gray, Former Agriculture Counselor and U.S. Consulate in the United Arab Emirates, at the Global Forum for innovations in agriculture (Abu Dhabi, 20-21 March 2017), an event to present solutions and inspire debate across all types of food production.
The Global Innovation Index (GII) aims to capture the multi-dimensional facets of innovation by providing a rich database of detailed metrics for 127 economies, which represent 92.5% of the world’s population and 97.6% of global GDP. As Ban Ki-moon, the eighth Secretary-General of the United Nations, noted at the UN Economic and Social Council in 2013, the GII is a ‘unique tool for refining innovation policies . . . for providing an accurate picture on the role of science, technology and innovation in sustainable development’.
Innovation platforms (IPs) are a way of organizing multistakeholder interactions, marshalling ideas, people and resources to address challenges and opportunities embedded in complex settings. The approach has its roots in theories of complexity, the concept of innovation systems and practices of participatory action research. IPs have been widely adopted across Africa and beyond in recent years as a “must have” tool in a range of “for development” modes of agricultural research.
The Private Sector Driven Agricultural Growth (PSDAG) project is a five-year (August 2014–August 2019) USAID-funded initiative implemented by International Resources Group, a subsidiary of Research Triangle Institute (RTI) International. The goal of PSDAG is to increase incomes of smallholder farmers by promoting private sector investment through two complementary objectives: (1) to assist the Government of Rwanda to increase private sector investment, and (2) to facilitate increased private sector investment by upgrading agricultural value chains.
International centres of excellence (ICE) in which foreign research organizations are attracted to developing and emerging countries via dedicated funding schemes to support technological catching-up and strengthening of innovation systems, can have benefits for both host countries and their international research partners through knowledge spill-overs and business opportunities.
ICT-driven digital tools to support smallholder farmers are arguably inevitable for agricultural development, and they are gradually evolving with promising outlook. Yet, the development and delivery of these tools to target users are often fraught with non-trivial, and sometimes unanticipated, contextual realities that can make or mar their adoption and sustainability. This article unfolds the experiential learnings from a digital innovation project focusing on surveillance and control of a major banana disease in East Africa which is being piloted in Rwanda.
Technology and innovation are important in addressing complex problems in the agricultural sector in many developing communities. However, ways and mechanisms to integrate them in the agricultural sector are still a challenge due to the lack of clear pathways and trajectories. Value chains are seen as a strong policy instrument to increase profitability in the agricultural sector; there is also debate around whether value chains can be a potential option to organize technology and innovation trajectories in agriculture.
A central concern about achieving global food security is reconfiguring agri-food systems towards sustainability. However, historically-informed trajectories of agri-food system development remain resistant to a change in direction. Through a systematic literature review, the authors identify three research domains exploring this phenomenon and six explanations of resistance: embedded nature of technologies, misaligned institutional settings, individual attitudes, political economy factors, infrastructural rigidities, research and innovation priorities.
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.
Innovations are fast changing the agricultural landscape driven by the increasing need to shift towards sustainable practices without sacrificing the productivity and profitability of farming. Innovations in technology, institutions, processes, and products have contributed to the growth of agriculture, globally and in developing countries including India and Africa, as observed in the cases of green revolution in cereals; and gene revolution in cotton.