Esta presentación es parte del Kit de Aprendizaje del Nuevo Extensionista (New Extensionist Learning Kit NELK) desarrolado por GFARS. En esta primera unidad la presentación comenta las tendencias observadas en el sector rural con un enfoque en la globalización y la necesidad de pluralismo, también discute el desarrollo de los SIA para enfrentar los cambios en el contexto rural, y los tipos de proveedores de los SEA (Servicios de extensión agrícola) y sus roles.
Esta presentación hace parte del Kit de Aprendizaje del Nuevo Extensionista (New Extensionist Learning Kit NELK) desarrolado por GFARS. Este módulo ha sido diseñado para introducir a los extensionistas con los términos y conceptos clave requeridos para entender la administración y gestión del programa de extensión agrícola y para comenzar a construir conocimientos, destrezas y actitudes que se requieren para gestionar la extensión de una manera efectiva.
This study assessed intermediate results of an investment intended to support climate change adaptation and resilience-building among farmers’ cooperatives in Rwanda. The assessment was based on a purposive sampling survey of farmers’ perspectives conducted in sites in 10 programme intervention districts of the country’s 30 districts.
CCAFS (through the International Livestock Research Institute and the International Research Institute for Climate and Society) and the Africa Climate Policy Center sponsored a workshop on ‘Strengthening Regional Capacity for Climate Services in Africa’, held on 27th October 2015 at Victoria Falls, Zimbabwe.
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.
Kenya has emerged as a frontrunner in information and communication technologies (ICT) in Sub-Saharan Africa. The government has been actively supporting the ICT sector as one of the key drivers of economic growth. In addition to large international firms that are setting up offices in Nairobi, such as Nokia, IBM and Google, local start-ups have also been expanding rapidly.
Agricultural information is transferred through social interactions; therefore, ties to agricultural informants and network structures within farmers’ local neighborhoods determine their information-gathering abilities. This paper uses a spatial autoregressive model that takes account of spatial autocorrelation to examine such network connections, including friendship networks and advice networks, upon farmers’ knowledge-gathering abilities during formal agricultural training.
Most of today’s information services on the web are designed for PC users. There are few services fit to be accessed by mobile devices. In the countryside of China, most of the mobile phone users can not access the Internet. For this reason, was developed a General Agriculture Mobile Service Platform. The Platform is designed to make these information services fit to be accessed by mobile users, and to make those mobile phone users can use these services without Internet connection.
In order to solve the problems of low efficiency and backward methods in the agro-technical extension activities, this paper designed an agro-technical extension information system based on cloud storage technology. This paper studied the key technologies, such as cloud storage service engine, cloud storage management node and cloud storage data node and designed the overall architecture of the agro-technical extension information system based on cloud storage technology.
Timely availability of reliable information on weather conditions, agro-advisories, and market information can help to minimize losses in agriculture. This paper presents a scientific and integrated approach to identify areas of high agriculture vulnerability to climate change and availability of ICT services for dissemination of Climate Smart Agriculture (CSA) information in the vulnerable areas. This study was illustrated for India where the majority of the population depends on agriculture for their livelihoods, and this sector is highly vulnerable to climate change.