This assessment has been conducted over December 2015 to May 2016 under the Powering Agriculture Support Task Order (PASTO). PASTO is funded by USAID and implemented by Tetra Tech ES, Inc. PASTO provides support services to the Powering Agriculture: An Energy Grand Challenge for Development (PAEGC) and its Founding Partners to enable their effective management, monitoring and evaluation of the program.
The purposes of this course are to review the major reforms being considered internationally that aim to change the policy and institutional structure and operations of public sector agricultural extension systems, and to examine the advantages and disadvantages of each of these reforms as illustrated by the selected case studies. Aside from the introductory chapter, the course is organized into nine modules, which are conceived as part of a larger framework.
Grants for agricultural innovation are common but grant funds specifically targeted to smallholder farmers remain relatively rare. Nevertheless, they are receiving increasing recognition as a promising venue for agricultural innovation. They stimulate smallholders to experiment with improved practices, to become proactive and to engage with research and extension providers. The systematic review covered three modalities of disbursing these grants to smallholder farmers and their organisations: vouchers, competitive grants and farmer-led innovation support funds.
This article starts by describing the evolution of innovation in agricultural research and cooperation for development, including an historical overview of agricultural research for development from green revolution to the re-discover of traditional knowledge. Then the authors analyze participation in innovation processes and make a comparison of innovation systems and platforms targeting the agri-food sector in developing countries. A particular focus is reserved to the European regional networks and to the experience of the USAID Middle East Water and Livelihoods Initiative.
This publication contains twelve modules which cover a selection of major reform measures in agricultural extension being promulgated and implemented internationally, such as linking farmers to markets, making advisory services more demand-driven, promoting pluralistic advisory systems, and enhancing the role of advisory services within agricultural innovation systems.
El Catálogo latinoamericano de experiencias en agricultura familiar TEC 2018 presenta 31 soluciones innovadoras, que han logrado consolidarse como tecnologías sociales, o avanzan en tal dirección. Entendemos por tecnología social la innovación social estructurada por el conjunto de conocimientos, prácticas, métodos e instrumentos que han resuelto una problemática en una comunidad. Estas tecnologías que se caracterizan por su bajo costo, facilidad de aplicación y mínimo impacto ambiental, facilitan el proceso de apropiación por parte de otras comunidades.
The European Innovation Partnership for agricultural productivity and sustainability (EIP-AGRI), which can be perceived as a platform based on interaction among farmers, researchers, and advisors/extensionists, represents a useful tool for a better understanding of applied innovation processes.
Multi-actors networks are increasingly used by farmers to link between them and to be interactively connected with other partners, such as advisory organizations, local governments, universities, and non-farm organizations. Given the importance assigned to the agricultural innovation by EU resorting to the networking between the research chain actors and the farmers, a strong focus on enhancing the creation of learning and innovation networks is expected.
This report presents the main results of the EU-funded IN-SIGHT project ‘Strengthening Innovation Processes for Growth and Development’. The authors sketched out a conceptual framework and knowledge base for a more effective European policy on innovation in agriculture and rural areas. Both conceptual framework and knowledge base are consistent with the new European agenda for agricultural and rural policy and sensitive to the diversity of the European agricultural and rural systems.
Crop surface models (CSMs) representing plant height above ground level are a useful tool for monitoring in-field crop growth variability and enabling precision agriculture applications. A semiautomated system for generating CSMs was implemented. It combines an Android application running on a set of smart cameras for image acquisition and transmission and a set of Python scripts automating the structure-from-motion (SfM) software package Agisoft Photoscan and ArcGIS. Only ground-control-point (GCP) marking was performed manually.