The profound changes in European policy for farms advisory services (FAS) require a period of experimentation and results observation before the new CAP 2021-2027. This paper focuses on Measure 2 of Rural Development Programme (RDP) 2014-2020. The paper is focused on the description of case studies in three Italian regions: Campania, Emilia-Romagna and Veneto. Different Measure 2 – sub-measure 2.1 models are analyzed through a qualitative approach, using a conceptual framework adapted by Birner et al. (2009).
The core idea of the article is the existence of complicated array of deterrent factors that influences innovation activity of agriculture organizations, and subjective, psychological factors among those factors as well. The main goal of this work is to assess the top management and proprietors’ of AIC enterprises readiness to implement the innovations. As a research’ working hypothesis used the decisive role of human factor in answering the question whether to innovate or not.
Au Burkina Faso, le faible niveau de développement social et économique et sa population à grande majorité rurale rendent le pays très dépendant des ressources naturelles. Pour se nourrir, se loger et s’épanouir, les ressources naturelles sont directement prélevées et les terres sont de plus en plus mises en culture sous la pression démographique au détriment des espaces naturels. En effet, les ressources naturelles constituent le support de la plupart des activités de production.
Ce guide a pour but de vous initier à l’utilisation et à la rédaction de fiches techniques sur les bonnes pratiques pastorales et agropastorales. L’objectif étant de vous fournir un outil de gestion des connaissances pleinement opérationnel dans lequel les informations sur les bonnes pratiques sont continuellement documentées et diffusées en interne et en externe aux partenaires.
Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
This report provides an overview of the Tropical Agriculture Platform (TAP) since its inception in 2012, when it was officially launched by FAO at the first G20 Meeting of Agriculture Chief Scientists (MACS) in September 2012 in Mexico, until December 2018. The G20 Agriculture Deputies agreed on this stock taking exercise that started under the 2018 Argentinian G20 Presidency.
This exercise was done on the occasion of the G20 MACS meeting in April 2019 in Japan. Its purposes are the following:
Though Odisha is India’s top sweetpotato-producing state, most farmers grow low-yielding varieties of limited nutritional value. The Odisha Directorate of Horticulture and the International Potato Center (CIP) spent four years promoting improved varieties and good agricultural practices in four districts of Odisha, resulting in a 25 per cent growth in the area dedicated to the crop, a 17 per cent increase in farm productivity, and a 40 per cent increase in farmer incomes within the project areas; as well as the introduction of a nutritious, orange-fleshed sweetpotato variety.
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.
This Coaching Process guide 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.
The concept of technology adoption (along with its companions, diffusion and scaling) is commonly used to design development interventions, to frame impact evaluations and to inform decision-making about new investments in development-oriented agricultural research. However, adoption simplifies and mischaracterises what happens during processes of technological change. In all but the very simplest cases, it is likely to be inadequate to capture the complex reconfiguration of social and technical components of a technological practice or system.