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.
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”.
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.
Malaria afflicts many people in the developing world, and due to its direct and indirect costs it has widespread impacts on growth and development. The global impact of malaria on human health, productivity, and general well-being is profound. Human activity, including agriculture, has been recognized as one of the reasons for the increased intensity of malaria around the world, because it supports the breeding of mosquitoes that carry the malaria parasite.
Where CGIAR breeding programs rely on the private sector for the multiplication and distribution of improved cultivars, persistent challenges have dampened their impact on varietal adoption and turnover rates. Part of the problem is that research and practice in CGIAR and among its national breeding program partners tend to treat the private sector as a vehicle for seed delivery, rather than as commercial businesses facing a range of unique constraints and threats.
Structural transformation of agriculture typically involves a gradual increase of mean farm sizes and a reallocation of labor from agriculture to other sectors. Such structural transformation is often fostered through innovations in agriculture and newly emerging opportunities in manufacturing and services. Here, we use panel data from farm households in Indonesia to test and support the hypothesis that the recent oil palm boom contributes to structural transformation. Oil palm is capital-intensive but requires much less labor per hectare than traditional crops.
Capacity development interventions are considered critical entry points for advancing gender equality in agricultural research systems. However, the impacts of capacity development programs are often difficult to track. Academic reviews highlight that insufficient attention is paid to the suitability of gender training programs to increase capacity and limited evidence is available on their longer-term impacts.
There is widespread need for gender-responsive agricultural research, yet the question of how this kind of research can be implemented and its success measured needs further interrogation. This paper presents a framework, developed on the basis of literature and validated by experts, for tracking the gender responsiveness of agricultural research throughout the research cycle, from the research plan to the dissemination of research findings. The framework was tested in Uganda and Rwanda on 14 research projects considered to be gender-responsive.