The study analyzes the current state of Agricultural Technical and Vocational Education and Training (ATVET) in Africa and presents its challenges and opportunities. A review of the ATVET in selected Sub-Saharan Africa countries shows that there are far too few training opportunities for young people and that often, the training offered does not match the needs of the private sector and of local administrations. ATVET trainings focus primarily on production skills and on producers themselves with
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 brief summarizes the main activities carried out by the 15 international agricultural research centers of the global research partnership for a food secure future CGIAR and their affiliated institutions develop innovative solutions for sustainable agriculture
The present rise of pork demand in Benin calls for an assessment of the swine value chain (VC) to envision its development. A participatory approach is here proposed to join this assessment to a stimulation of innovation among stakeholders.
L’étude a contribué à améliorer la chaîne de valeur (CVA) maïs grain blanc grâce à des liens et relations plus structurés entre ses acteurs. L’Approche Recherche Intégrée pour le Développement a été utilisée à travers le suivi strict de toutes ses étapes pour installer une plateforme d’innovations dans la commune de Matéri et promouvoir les relations inter-acteurs. Les résultats de l’application de l’approche multi-acteurs ont fait ressortir le maïs grain blanc comme chaîne de valeur prioritaire dans la zone d’étude.
La conférence du programme mondial de SEWOH (Initiative spéciale "Un seul monde sans faim") Programme mondial "Sécurité alimentaire et nutritionnelle, renforcement de la résilience" au Bénin a été consacrée à la promotion des changes et de la coopération Sud-Sud.
This publication brings some sucessful experiencies in Digital Agriculture in African countries. In this issue of Spore, it is explored how digitalisation is providing women with better access to finance, information and markets, as well as opening up new opportunities for young entrepreneurs to develop apps and other digital services in agribusiness
This study considers what lessons might be learned from the cassava value chain in the context of CTA’s interest in the potentials of: digital financial services for agriculture, such as mobile payments for farmers’ products; other payment streams for financial inclusion of farmer; index based insurance services; digital services to support access to loans and credits. This research provides a comprehensive market study of cash usage behavioural practices and financial literacy among cassava farmers in Ghana and Nigeria.
In this paper, was analyzed farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. Was used a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results.
Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis