This guide on Monitoring, Evaluation and Learning was prepared under the project Capacity Development for Agricultural Innovation Systems (CDAIS), a global partnership (Agrinatura, FAO and eight pilot countries) that aims to strengthen the capacity of countries and key stakeholders to innovate in complex agricultural systems, thereby achieving improved rural livelihoods. CDAIS uses a continuous learning cycle approach to support national agricultural innovation systems in eight countries in Africa, in Asia and Central America.
FAO and the Centre de Cooperation Internationale pour la Recherche et le Developpement Agricole (CIRAD) organized an expert consultation workshop on developing a methodology for assessing agricultural innovation systems. The meeting was held on 13–15 June 2018 at CIRAD Headquarters in Paris. It brought together 30 experts from academia, research, extension, the private sector, development agencies and government representatives.
Este informe describe los cambios y las dinámicas actuales de los vínculos urbano-rurales enfocandose en el análisis de los circuitos cortos de comercialización (CCC) e iniciativas empresariales exitosas que valorizan los sistemas alimentarios locales
This study proposes a modelling digital marketplace with FinTech enabled especially crowdfunding and payment system in order to support agriculture’s sustainability. The model connects all actors (farmers, landowners, investors, and consumers) into a platform that can promote transparency, empowerment, resourcefulness, and public engagement in agriculture
This work has largely focused on the developed world, yet the majority of people and future economic growth lies in the developing world. Further, most research examines micro data on consumers or firms, limiting what is known regarding the role of macro factors on diffusion, such as social systems. Addressing these limitations, this research provides the first high-level insights into how green building adoption is occurring in developing countries.
This paper used systematic literature network analysis to review the state-of-the-art blockchain technology including its recent advances, main applications in agri-food value chain and challenges from a holistic perspective. The findings suggest that blockchain technology together with advanced information and communication technology and internet of things have been adopted for the improvement of agri-food value chain management in four main aspects: traceability, information security, manufacturing and sustainable water management.
The present chapter outlines a descriptive analysis of the sorghum value chains across the globe, the identified major constraints of the sorghum value chain, the business service provisions, and suggested specific areas of interventions for upgradation of the value chain. Considering the VC of sorghum, it is very new and value addition is limited up to harvesting and marketing of whole sorghum grain.
This review paper responds to the following questions: 1) can existing adaptation options confer useful responses to various degrees of climate change; 2) have certified coffee programs already implemented adaption options; 3) what (additional) implementation steps are required to adapt coffee production to climate change; and 4) which social-institutional changes are additionally required to enable smallholders to adapt to climate change at farm and landscape scales.
Drawn from numerous sources, including papers in this journal, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following the introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified? How are they inter-related?
This methodological framework is based on Life Cycle Assessment (LCA) and multi-criteria assessment methods. It integrates CSA-related issues through the definition of Principles, Criteria and Indicators, and involves farmers in the assessment of the effects of CSA practices. To reflect the complexity of farming systems, the method proposes a dual level of analysis: the farm and the main cash crop/livestock production system. After creating a typology of the farming systems, the initial situation is compared to the situation after the introduction of a CSA practice.