This brief is part of the series, A Field Guide for Disaster Risk Reduction in Southern Africa: Key Practices for DRR Implementers, coordinated by the FAO Subregional Office for Disaster Risk Reduction/Management for Southern Africa. The objective of this technical brief is to provide concise and clear descriptions of the key aspects for the promotion of quality seed of appropriate varieties for use by small-scale farmers, in the context of the disaster risk reduction/management (DRR/M) activities in the southern African region.
This Module is the third in a series of four that address capacity development competencies in FAO. It is intended to enhance FAO’s practices in designing, developing, delivering and evaluating its activities in support of learning in Member Countries, while ensuring that learning leads to sustainable capacity development.
This note is part of the Global Good Practices Initiative, which aims to provide information about extension approaches and methods in easy-to-understand formats. It focuses on Innovation Platforms, examining in particular two case studies: the Ghana Oil Palm platform and the Research Into Use (RIU) programme in Tanzania.
This booklet describes some recent, stand-out innovations and achievements that are the fruits of this future-oriented partnership, fully supported by the Katalyst project. As Katalyst is in its third phase of operations, some of the milestone achievements of the project are reviewed. The project expects to expand on these successful models to be implemented throughout Bangladesh.
The Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) program, supported by the United States Agency for International Development, aims to create opportunities for smallholder farm households to move out of hunger and poverty through sustainably intensified farming systems that improve food, nutrition, and income security, particularly for women and children, and conserve or enhance the natural resource base.
The Africa Research in Sustainable Intensification for the Next Generation (Africa RISING) program comprises three research-for-development projects supported by the United States Agency for International Development as part of the U.S. government’s Feed the Future initiative. Through action research and development partnerships, Africa RISING will create opportunities for smallholder farm households to move out of hunger and poverty through sustainably intensified farming systems that improve food, nutrition, and income security, particularly for women and children, and
This guide is the second in a series of documents designed to support agencies implementing participatory agroenterprise development program operating within defined geographical areas.
La plupart des personnes pauvres et qui souffrent de la faim, dans le monde, sont des ruraux qui tirent un maigre revenu de l’agriculture. En 2010, sur les 1,2 milliard de personnes extrêmement pauvres, quelque 900 millions vivait en milieu rural. Environ 750 millions de ces personnes travaillaient dans l’agriculture, généralement comme petits exploitants familiaux (Olinto et al., 2013). On estime que 200 millions de ruraux pauvres pourraient émigrer vers les villes ces 15 prochaines années, mais la plupart d’entre eux resteront toutefois à la campagne.
The TOWS Matrix is derived from the SWOT Analysis model. The SWOT analysis is based on two factors; internal factors (Strengths and Weakness) and external factors (Opportunities and Threats). For an organisation to function at the best of its potential, these tools should be utilised at the beginning of the year. This article shows how important these tools are important in an organisation.
La FAO, IBM et Microsoft cherchent des moyens concrets et durables d’utiliser l’intelligence artificielle dans le respect des principes d’éthique approuvés par le pape François 24 septembre 2020, Rome - Lors d'une manifestation organisée aujourd'hui à l'Académie pontificale pour la vie, l'Organisation des Nations Unies pour l'alimentation et l'agriculture (FAO), IBM et Microsoft ont réitéré leur engagement en faveur de la mise au point de formes d'intelligence artificielle (IA) qui soient inclusives et promeuvent des moyens durables de concrétiser la sécurité alimentaire et nutritionnelle.