Ensuring food security in developing countries is highly challenging due to low productivity of the agriculture sector, degradation of natural resources, high post farming losses, less or no value addition, and high population growth. Researchers are striving to adopt newer technologies to enhance supply to narrow the food demand gap. Nanotechnology is one of the promising technologies that could improve agricultural productivity via nano fertilizers, use of efficient herbicides and pesticides, soil feature regulation, wastewater management, and pathogen detection.
The Progress towards Sustainable Agriculture initiative (PROSA) is a framework that seeks to complement ongoing efforts on the Sustainable Development Goals (SDGs), and particularly indicator 2.4.1, to support country-level assessments using data already available at the national level. Making agriculture more sustainable – productive, environmentally friendly, resilient and profitable is fundamental, as agriculture remains the main source of livelihood for the majority of the world’s poor and hungry.
The objective of this study is to evaluate the ability of soil physical characteristics (i.e., texture and moisture conditions) to better understand the breeding conditions of desert locust (DL). Though soil moisture and texture are well-known and necessary environmental conditions for DL breeding, in this study, we highlight the ability of model-derived soil moisture estimates to contribute towards broader desert locust monitoring activities.
Tool 9 provides general information and examples on the latest developments, uses and applications in the area of food biotechnology, and it focuses on genome (or gene) editing. It also provides examples that could help users of this toolkit to explain genome editing, the difference between genetic modification and genome editing and the potential benefits of these new technologies. In addition, it supports users to highlight possible research and development activities ongoing in their own country.
L’équipe d’Analyse et de Cartographie de la Vulnérabilité (VAM, Vulnerability Analysis and Mapping) du Bureau Régional pour l'Afrique de l'Ouest et Centrale (RBD, Regional Bureau Dakar) du Programme Alimentaire Mondial (PAM) a lancé une initiative régionale sur le Genre et les Marchés afin de renforcer la collecte et l’analyse de données sexospécifiques sur les rôles, les défis et l’autonomisation des femmes et des hommes dans les marchés de neuf pays de l’Afrique de l’Ouest.
FAO Eritrea, in partnership with the Ministry of Agriculture is implementing the national component of a global project entitled “Developing capacity in Agriculture Innovation System project: Scaling up the Tropical Agriculture Platform Framework”.
Dans de nombreux pays, les décideurs ont besoin d'informations pertinentes sur les systèmes d'innovation agricole (SIA) pour guider la formulation des stratégies et des instruments politiques de soutien à l'innovation.
Fairtrade certification has recently gained in importance for various export crops produced in developing countries. One of Fairtrade's main objectives is to improve the social conditions of smallholder farmers. Previous research showed that Fairtrade has positive effects on farmers' sales prices and incomes in many situations. However, more detailed analysis of the effects on food security and other dimensions of household living standard is rare.
Ce catalogue décrit une série de solutions agricoles pour les zones arides du Sahel et de la Corne de l'Afrique, utiles pour l'adaptation au changement climatique et l'atténuation de ses effets. Il est basé sur les interventions du programme Technologies pour la transformation de l'Agriculture en Afrique (TAAT). Ce programme, dirigé par l'Institut International d'Agriculture Tropicale (IITA), est à l'origine de nouvelles approches pour le déploiement de technologies éprouvées auprès des agriculteurs africains.
Individuals from a diverse range of backgrounds are increasingly engaging in research and development in the field of artificial intelligence (AI). The main activities, although still nascent, are coalescing around three core activities: innovation, policy, and capacity building. Within agriculture, which is the focus of this paper, AI is working with converging technologies, particularly data optimization, to add value along the entire agricultural value chain, including procurement, farm automation, and market access.