Fall Armyworm (Spodoptera frugiperda), or FAW, is an insect native to tropical and subtropical regions of the Americas. In the absence of natural controls or good management, it can cause significant damage to crops. It prefers maize, although it can feed on more than 80 additional species of crops including rice, sorghum, millet, sugarcane, vegetable crops and cotton.
This paper presents an overview of current opportunities and challenges facing efforts to increase the impact of rural and agricultural extension. The starting point for this analysis is in recognition that the days when agricultural extension was synonymous with the work of public sector agencies are over.
This book documents a unique series of 19 case studies where agricultural biotechnologies were used to serve the needs of smallholders in developing countries. They cover different regions, production systems, species and underlying socio-economic conditions in the crop (seven case studies), livestock (seven) and aquaculture/fisheries (five) sectors. Most of the case studies involve a single crop, livestock or fish species and a single biotechnology.
Ce document présente la position de l’Organisation des Nations Unies pour l’alimentation et l’agriculture (FAO) et du Forum mondial pour le conseil rural (GFRAS) sur la place actuelle des services de vulgarisation et de conseil agricole et sur les chemins qu’elle devra suivre à l’avenir. Les résultats présentés dans le document sont destinés à mieux situer la vulgarisation compte tenu de l’avenir de la recherche agricole en faveur du développement.
These proceedings relate to a regional workshop which was held in Muscat, Oman, in January 2008.
This publication aims to inform the debate on the status of food security in Arab countries, and provide policy options for enhancing food security in the future, in line with the overarching directions of the 2030 Agenda for Sustainable Development. Given the heterogeneity of the Arab region, both in terms of natural endowment, particularly in water resources, and economic capabilities, the report’s analysis divides the region into four subregions, each consisting of a more homogeneous group of countries.
This regional workshop was designed to strengthen the capabilities of representatives of NIFUs for analyzing the situations of their NAIS, and to use their national experiences to identify strengths, weaknesses, and threats/challenges affecting seven key areas influencing development of NAIS, namely: (i) strategy/policy, (ii) institutional aspects, (iii) stakeholders, (iv) content, (v) people, (vi) infrastructure, and (vii) financial aspects. Possible solutions for the key weaknesses and threats /challenges were defined by participants.
Le principal défi des systèmes alimentaires africains à l’avenir sera de fournir de la nourriture à une population en croissance rapide dont les régimes alimentaires et les préférences alimentaires évoluent. Alors que la population européenne diminue, les consommateurs exigeant des aliments produits de manière écologiquement et socialement responsable, la population africaine va plus que doubler entre 2020 et 2050, la demande alimentaire augmentant encore plus en raison des changements alimentaires.
The main challenge for African food systems in the future will be to provide food for a rapidly growing population with changing diets and food preferences. Whilst the population of Europe is decreasing, with consumers demanding food that is produced in an environmentally and socially responsible way, Africa’s population will more than double between 2020 and 2050, with food demand increasing even more as a result of dietary changes.
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.