Conventional approaches to agricultural extension based on top–down technology transfer and information dissemination models are inadequate to help smallholder farmers tackle increasingly complex agroclimatic adversities. Innovative service delivery alternatives, such as field schools, exist but are mostly implemented in isolationistic silos with little effort to integrate them for cost reduction and greater technical effectiveness.
This report provides a synthesis of all findings and information generated through a “stocktaking” process that involved a desk study of Prolinnova documents and evaluation reports, a questionnaire to 40 staff members of international organizations in agricultural research and development (ARD), self-assessment by the Country Platforms (CPs) and backstopping visits to five CPs. In 2014, the Prolinnova network saw a need to re-strategise in a changing context, and started this process by reviewing the activities it had undertaken and assessing its own functioning.
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.
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.
Lors de la conception de projets, il importe de faire intervenir les parties prenantes locales le plutôt possible afin de veiller à ce que les activités de renforcement des capacités répondent vraiment à leurs besoins. Les processus multipartites peuvent aussi mener à à une plus grande appropriation des activités et des résultantes des projets. La présente étude de cas offre un exemple de processus multipartite mis en place avec succès au Soudan pour renforcer les systèmes d’information sur la sécurité alimentaire et la nutrition dans quatre États.
Bien que le nombre de personnes vivant au-dessous du seuil de pauvreté en Ouganda ait diminué de moitié cette dernière décennie, le taux de malnutrition a augmenté de 27 à 30 pour cent. Au cours de la même période, la consommation alimentaire journalière par habitant a reculé de 9,5 pour cent, ce qui représente une baisse des apports énergétiques alimentaires. Plusieurs raisons expliquent cette situation, mais selon le Plan d’action pour la nutrition de l’Ouganda (2011-2016) le manque de capacités est l’un des cinq principaux facteurs à l’origine de la persistance de la malnutrition.
Given the search for new solutions to better prepare cities for the future, in recent years, urban agriculture (UA) has gained in relevance. Within the context of UA, innovative organizational and technical approaches are generated and tested. They can be understood as novelties that begin a potential innovation process. This empirical study is based on 17 qualitative interviews in the U.S. (NYC; Philadelphia, PA, USA; Chicago, IL, USA).
The agricultural industry is getting more data-centric and requires precise, more advanced data and technologies than before, despite being familiar with agricultural processes. The agriculture industry is being advanced by various information and advanced communication technologies, such as the Internet of Things (IoT). The rapid emergence of these advanced technologies has restructured almost all other industries, as well as advanced agriculture, which has shifted the industry from a statistical approach to a quantitative one.
In recent decades, the confluence of different global and domestic drivers has led to progressive and unpredictable changes in the functioning and structure of agri-food markets worldwide.
The challenge of food security in Nigeria hinges on several factors of which poor technical efficiency is key. Using a stochastic frontier framework, we estimated the technical efficiency of agricultural households in Nigeria and tested for the significance of mean technical efficiency of food-secure and food-insecure agricultural households. We further assessed the determinants of agricultural households’ inefficiencies within the stochastic frontier model and adopted a standard probit model to assess the determinants of households’ food security status.