The Guide to Effective Collaborative Action is built on the foundation of 10 years' experience in transforming food and agricultural commodity systems by UNDP's Green Commodities Programme. It is broadening the application from support to commodity production to the transformation of food systems. The four building blocks of putting systems change into practice, integrated with backbone support and essential practices for stakeholder actions, provide a framework for Changing Systems through Collaborative Action.
Global Open Data for Agriculture and Nutrition (GODAN) and The Haller Foundation joined forces in 2016 when the UK based charity released version one of the Haller Farmers App.
If the world is to transition towards agrifood systems that are more sustainable and equitable, small-scale production systems will be key to progress. Large parts of the world depend on small-scale systems for maintaining food security and nutrition (Lowder, Sánchez and Bertini, 2021; Herrero et al., 2017). Despite this centrality, neither small-scale production systems nor small-scale producers have received due recognition under predominant agrifood systems paradigms.
As the United Nations faces a number of pressing issues, it is time to make innovative thinking the new normal. Developed by the UN, for the UN, this digital platform includes twenty-one tools, step-by-step directions, worksheets, case studies, references as well as a 27-question assessment which provides a diagnosis on every user’s strengths and areas for improvement.
This training manual, which is based on a methodology developed by FAO’s Research and Extension Unit (OINR), presents a training course on assessing AIS consisting of eight modules.
The Food and Agriculture Organization of the United Nations (FAO) has developed a web-based Rift Valley fever (RVF) Early Warning Decision Support Tool (RVF DST), which integrates near real-time RVF risk maps with geospatial data, historical and current RVF disease events from EMPRES Global Animal Disease Information System (EMPRES-i) and expert knowledge on RVF eco-epidemiology.
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.
Contract farming has gained in importance in many developing countries. Previous studies analysed effects of contracts on smallholder farmers’ welfare, yet mostlywithout considering that different types of contractual relationships exist. Here, we examine associations between contract farming and farm household income in the oilpalm sector of Ghana, explicitly differentiating between two types of contracts,namely simple marketing contracts and more comprehensive resource-providing contracts.
This toolbox has been developed to collate different tools and methods that can be used for food system analysis.
It is specifically based on systems thinking for food system analysis, with the aim to formulate actionable recommendations that can bring about systemic change.It describes both the process of a food system analysis, as well as a set of tools that can be used at different stages.
Esta guía práctica se preparó en el marco del proyecto Desarrollo de capacidades para sistemas de innovación agrícola (CDAIS), una asociación mundial (Agrinatura, FAO y ocho países piloto) que tiene como objetivo fortalecer la capacidad de los países y las partes interesadas clave para innovar en sistemas agrícolas complejos. lograr mejores medios de vida rurales. CDAIS utiliza un enfoque de ciclo de aprendizaje continuo para apoyar los sistemas nacionales de innovación agrícola en ocho países de África, Asia y América Central.