Organic farming is recognized as one source for innovation helping agriculture to develop sustainably. However, the understanding of innovation in agriculture is characterized by technical optimism, relying mainly on new inputs and technologies originating from research. The paper uses the alternative framework of innovation systems describing innovation as the outcome of stakeholder interaction and examples from the SOLID (Sustainable Organic Low-Input Dairying) project to discuss the role of farmers, researchers and knowledge exchange for innovation.
This is the proceedings of the international conference ‘Innovations in Organic Food System for Sustainable Production and Enhanced Ecosystem Services’. The proceedings are a compilation of peer-reviewed articles based on presentations of 18 speakers invited conference speakers and published as a Special Issue of the scientific journal ‘Sustainable Agriculture Research’ by the Canadian Centre of Science and Education.
The creative process that leads to farmers’ innovations is rarely studied or described precisely in agricultural sciences. For academic scientists, obvious limitations of farmers’ experiments are e.g. precision, reliability, robustness, accuracy, validity or the correct analysis of cause and effect. Nevertheless, we propose that ‘farmers’ experiments’ underpin innovations that keep organic farming locally tuned for sustainability and adaptable to changing economic, social and ecological conditions.
The module aimed to identify and examine the main features and characteristics of complex agricultural problems, explore innovative solutions to address complex agricultural problems, and examine the circumstances under which innovative solutions emerge.
This presentation was presented in Addis Ababa (Kenya) and discuss about the initiatives carried out by FAO, CGIAR, Technologies for African Agricultural Transformation (TAAT) and the ILRI in order enhance the capacity development for agriculture on proven Livestock Technology in Eastern Africa
Farmers’ experiments can be defined as the autonomous activities of farmers to try or introduce something new at the farm, and include evaluation of success or failure with farmers’ own methods. Experiments enable farmers to adapt their farms to changing circumstances, build up local knowledge, and have resulted in countless agricultural innovations. Most research on the topic has been conducted in countries of the south.
This paper discusses a range of approaches and benchmarks that can guide future design of value chain impact evaluations. Twenty studies were reviewed to understand the status and direction of value chain impact evaluations. A majority of the studies focus on evaluating the impact of only a few interventions, at several levels within the value chains. Few impact evaluations are based on well-constructed, well-conceived comparison groups. Most of them rely on use of propensity score matching to construct counterfactual groups and estimate treatment effects.
This learning module on Applying innovation system concept in agricultural research for development has been prepared to serve as a tool in achieving the objective of strengthening the capacity of project staff and other researchers and actors who are believed to have a key role to play in ushering in market-led agricultural transformation. This includes national, regional, international and private sector agricultural researchers, university lecturers, and others engaged in biophysical as well as social science research.
Between 2012 and 2016, in collaboration with research and development partners, ILRI undertook specific action research and capacity development interventions to address identified challenges and generate evidence for wider applicability along the pig value chain. The work was funded by three major bilateral donors, the European Commission/International Fund for Agricultural Development (EC/IFAD) and Irish Aid.
The CGIAR research program on livestock and fish aims to sustainably increase the productivity of small-scale livestock and fish systems so as to increase the availability and affordability of meat, milk and fish for poor consumers across the developing world. The purpose of this document is to lay out a Monitoring, Evaluation and Learning (MEL) Framework for the program. The Framework provides a concise narrative of why the M&E system is important, how it operates, what kinds of data it will collect and who is responsible for data collection and analysis.