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.
This brief discusses the emergence of Asia as a hotpot of innovation and the implications for Australia's own innovation capacity
This paper explores innovation processes and institutional change within research for development (R4D). It draws on learning by Australian participants associated with the implementation of a three-year Australian-funded food security R4D programme in Africa, and in particular a sub-component designed to support and elicit this learning. The authors critically examine this attempt at institutional innovation via the creation of a 'learning project' (LP) in a larger programme.
Research and analysis of agricultural innovation processes and policies over the last 20 years has made a major contribution to scholarship on and the understanding of the nature of innovation. To an important, but much lesser degree this has also led to re-framing practice at the research-innovation interface. Innovation studies (for want of a better word), like many branches of science, finds that it needs to deliver solutions across the full spectrum of discovery (concepts and theories) to application in both policy and practice domains.
The nature of interactions between farmers and advisors is the focus of a growing body of research. While many studies explore the potential role of advisors in facilitating farmers' practice change in practices related to agricultural production such as soil, water, pest and animal health management, studies that specifically investigate how advisors support farmers with financial management (FM) are limited. The contribution this paper makes is to identify who farmers' FM advisors are and to shed light on how farmer-advisor interactions about FM are shaped.
The paper describes an attempt to improve the uptake of a new agricultural Decision Support System (aDSS). The approach was to design it with an understanding of the successes and failures of predecessors and of the changes in patterns of relevant technology use over time, the “usage context”. Even though its predecessor, IrriSatSMS, showed great potential in pilot seasons, that system failed to be commercialised successfully.
Digitalization and internet use are transforming every aspect of our lives. Digital technologies are profoundly changing how we grow food, pack it, transport it and even shop for food. Digitalization and use of digital data, applications, and platforms are opening new possibilities for developing and restructuring the agrifood system. Digital agriculture is turning to digitalizing agrifood, rural economy, and rural societies. This report introduces the FAO Digital Village Initiative, which aims to facilitate through knowledge and information.
The Foresight project Global Food and Farming Futures final report provides an overview of the evidence and discusses the challenges and choices for policy makers and others whose interests relate to all areas that interact with the food system.
This Economic and Sector Work paper, “Enhancing Agricultural Innovation: How to Go Beyond the Strengthening of Research Systems,” was initiated as a result of the international workshop, “Development of Research Systems to Support the Changing Agricultural Sector,” organized by the Agriculture and Rural Development Department of the World Bank in June 2004 in Washington, DC.
This background note for the development of an AIS Investment Sourcebook provides a menu of tools and guidance to invest in agricultural innovation in different contexts. The content is drawn on tested good practice examples and innovative approaches with emphasis on lessons learned, benefits and impacts, implementation issues, and replicability