A challenge for researchers and other developers of new technologies in agriculture is to find ways of communicating their results and recommendations. This challenge is particularly acute in regions in which farmers have limited access to education and where illiteracy is widespread, such as in the rural areas of Mali. One approach that shows potential, yet remains largely unused by extension services, is the dissemination of educational video on mobile phones with video and Bluetooth technology, which are widespread in the region.
El objetivo de esa tesis es identificar, caracterizar, analizar y definir los modelos de toma de decisiones en los modelos de organización productiva del Noreste de la Provincia de La Pampa (Departamentos Chapaleufú, Trenel y Maracó), como aporte para la mejora de la gestión del Sistema de Extensión Rural y Transferencia de Tecnología del Instituto Nacional de Tecnología Agropecuaria
As part of the EU funded AgriSpin project (www.agrispin.eu), which aimed at “creating space for innovations” in agriculture across Europe, this contribution addresses the above mentioned knowledge gaps by a. elaborating a generic typology appropriate to capture the variety of ISS, b. structuring selected innovations along the degree of technological change and coordination levels, and c.
Esta tesis tuvo la finalidad de contribuir al diálogo de saberes en la primera fase del proyecto piloto de ciencia abierta y colaborativa para la adaptación al cambio climático en el Bosque Modelo Reventazón, para lo cual se realizó un análisis de situación basada en el marco de los recursos y enfoque de medios de vida, para luego identificar los saberes locales respetos a temas claves desde la percepción de los participantes de los diferentes grupos y luego sistematizar la información, caracterizar las lecciones aprendidas del intercambio de saberes locales sobre investigación y adaptación
This study wants to analyse the extent to which the different research and innovation (R&I) instruments designed under the European Innovation Partnership for Agricultural productivity and sustainability (EIP-AGRI) look for synergies and intensify effective linkages with each other to strengthen the respective dynamics. The study is based on a case study representing the Italian EIP-AGRI system. Data are collected through direct interviews, semistructured questionnaires, focus groups and workshops.
Even prior to COVID, there was a considerable push for food system transformation to achieve better nutrition and health as well as environmental and climate change outcomes. Recent years have seen a large number of high visibility and influential publications on food system transformation. Literature is emerging questioning the utility and scope of these analyses, particularly in terms of trade-offs among multiple objectives.
In Europe, research and extension services (RES) play a relevant role in the agricultural sector. A Structural Equation Model has evaluated the impact of RES on perceived farm performance in a sample of 247 holdings. The authors interest is not only on the perceived benefits for small-scale holdings which request technical advice but also on the intermediate role of Strategic Orientations (SO), including market orientation and innovation attitude, that could improve the effectiveness of RES.
Recent research on agricultural innovation has outlined social networks’ role in diffusing agricultural knowledge; however, so far, it has broadly neglected the socio-spatial dimensions of innovation processes. Against this backdrop, the authors applies a spatially explicit translocal network perspective in order to investigate the role of migration-related translocal networks for adaptive change in a small-scale farming community in Northeast Thailand.
This report deals with selected innovations in Nigeria.
The following is a summary that introduces the report.
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.