À partir d’une expérience de valorisation d’un produit par l’origine, la viande de bœuf produite dans les prairies de la Pampa brésilienne, notre article propose d’analyser la capacité des acteurs locaux à élaborer et mettre en œuvre des dispositifs, leur permettant de répondre aux enjeux du développement durable.
One solution that may help farmers face climate challenges is for them to access real-time water-related information by using smart Information and Communication a Technology (ICT).
Accurate and operational indicators of the start of growing season (SOS) are critical for crop modeling, famine early warning, and agricultural management in the developing world. Erroneous SOS estimates–late, or early, relative to actual planting dates–can lead to inaccurate crop production and food-availability forecasts. Adapting rainfed agriculture to climate change requires improved harmonization of planting with the onset of rains, and the rising ubiquity of mobile phones in east Africa enables real-time monitoring of this important agricultural decision.
This article proposes ways to use programme theory for evaluating aspects of programmes that are complicated or complex. It argues that there are useful distinctions to be drawn between aspects that are complicated and those that are complex, and provides examples of programme theory evaluations that have usefully represented and address both of these.
This study was part of a larger project that applied an integrated framework for combined nutritional, food safety and value chain analysis to assess the dairy value chain in two regions of Tanzania, namely Morogoro and Tanga. Here, we report on the use of participatory rural appraisals (PRAs) with producers and consumers to investigate seasonality, constraints and opportunities in cow milk production and consumption in ten villages in Tanzania and describe attitudes and practices surrounding milk quality and safety.
The World Bank, in collaboration with the e-Agriculture community and the Food and Agriculture Organization of the United Nations (FAO), hold a series of two week online forums. These e-forums stem from the launch of the World Bank's ICT in Agriculture e-Sourcebook (2011) and the growing demand for knowledge on how to use ICT to improve agricultural productivity and raise smallholder incomes.The Summary presents the discussion during the e-forum held on 4th September 2012.
Geographic information system (GIS) data is often used to map socio-economic data with a spatial component. This data, which is obtained from multiple open-source databases, complements official statistics and generates additional spatial inputs to statistical and econometric analyses. IFAD uses impact assessments using data from face-to-face interviews in order to determine the impact of their projects on strategic goal and objectives. However, the COVID-19 pandemic meant these interviews could no longer take place.
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.
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).
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.