TECA is an FAO online platform for the exchange and sharing of agricultural technologies and practices for smallholder farmers and producers. The platform facilitates the transformation process in rural areas by making relevant and innovative technologies available to farmers in the field. In doing so, TECA further enhances the access to knowledge of smallholder producers in rural areas increasing their capacity to innovate and contribute to achieving the Sustainable Development Goals (SDGs).
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.
The agricultural innovation systems approach emphasizes the collective nature of innovation and stresses that innovation is a co-evolutionary process, resulting from alignment of technical, social, institutional and organizational dimensions. These insights are increasingly informing interventions that focus on setting up multi-stakeholder initiatives, such as innovation platforms and networks, as mechanisms for enhancing agricultural innovation, particularly in sub-Saharan Africa.
This poster analyzes the status, challenges and opportunities of the Kyeni local innovation platform that was put up to sustainably evaluate, disseminate and hasten adoption of CA technologies involving maize/ legume cropping systems in eastern Kenya. Establishment and maintenance of IPs is one of the action oriented research approaches for technology transfer in the ACIAR funded Sustainable Intensification of Maize-Legume Cropping Systems for Food Security in Eastern and Southern Africa (SIMLESA) project such as Kyeni Local Innovation Platform.
The World Bank has a long relationship with Uruguay's agricultural sector, expanding over a period of more than 60 years in which several projects and various analytical and advisory assistance initiatives have been implemented.
In this paper, is introduced an integrated supply chain planning tool for fresh vegetables that takes into consideration the characteristics and resources of three specific states in Mexico, to make recommendations in terms of the crops to be planted, the timing of planting and harvesting, and what markets to target such that the farmers’ profits are maximized. Also relevant is the selection of the appropriate agriculture technology level (e.g. open field, shade structures, or greenhouse) within each region analyzed.
The use of technology in agriculture plays an important role in the production chain cycle, as well as in the improvement of processes and productivity. To develop a model for measuring the technological capacity of family agriculture systems, it is necessary to assess the gaps related to indicators and the technological potentialities of these farmer groups, which are often not considered when they require financial support and do not get enough. Thus, the aim of this study is to identify the indicators used to evaluate the technological capacity of farm systems and agriculture.
This booklet grew out of a study on what makes for responsible scaling in the context of agrifood systems, thinking along the same lines as ideas that gave rise to the concept of responsible research and innovation. In our initial exploration, we brought together a number of angles on the topic area (Wigboldus and Leeuwis, 2013; Wigboldus et al. 2016).
This case study demonstrates how change agents can utilize networked learning communities (NLCs) with shared leadership to provide the structural supports for learning and influence the implementation of innovations within a social system. Our focus is the Department of Defense Education Activity (DoDEA), a large school system operating 164 accredited schools domestically and internationally.
Este artículo no publicado buscó construir indicadores sencillos para agencias de extensión rural, describir la capacidad de movimiento por agente en un medio específico y relacionar variables referidas a consumo de combustible, jornadas de capacitación y capacitandos por año por agente. Se analizó una base de datos de consumos de la Agencia de Extensión Rural Caucete, se clasificó la información por período (trimestre de gasto), tipo de gasto y agente generador de gasto. Se utilizó el programa Excel y se calcularon estadísticos descriptivos de posición y dispersión.