The Synthesis Document, here in its Hindi version, provides a synthesis of concepts and principles of the Common Framework developed under the Tropical Agriculture Platform (TAP). The objective of the TAP Common Framework is to promote better coherence and greater impact of capacity development in support of agricultural innovation in the Tropics. Developed in 2015 through a highly participatory process, it was agreed that the Framework should provide conceptual underpinnings and practical guidance.
Agricultural production systems are a composite of philosophy, adoptability, and careful analysis of risks and rewards. The two dominant typologies include conventional and organics, while biotechnology (GM) and Integrated Pest Management (IPM) represent situational modifiers. We conducted a systematic review to weigh the economic merits—as well as intangibles through an economic lens—of each standalone system and system plus modifier, where applicable. Overall, 17,485 articles were found between ScienceDirect and Google Scholar, with 213 initially screened based on putative relevance.
The project “Strengthening Community Resilience to Change: Combining Local Innovative Capacity with Scientific Research” (CLIC–SR), supported by the Rockefeller Foundation, was completed on 31 August 2016. During the four years since 2012, the Prolinnova Country Platforms in Ethiopia, Kenya, Tanzania and Uganda made large strides in:
Une grande majorité des polyculteurs éleveurs de l’ouest du Burkina Faso ont un projet d’élevage familial (PEF) en tête. Cependant, plus de la moitié des projets ne démarrent même pas. Parmi ceux mis en place, d’importantes faiblesses sont observées au niveau de la gestion de l’alimentation du bétail, ce qui compromet leur rentabilité économique. Cet article présente une démarche de conception et d’accompagnement de projet d’élevage familial (Capef) conduit en partenariat entre le producteur et un conseiller.
Ce manuel du formateur sur l’évaluation des besoins en capacités a été produit dans le cadre du projet de développement des capacités pour les systèmes d’innovation agricole (CDAIS). Cela implique un partenariat mondial (Agrinatura, l'Organisation des Nations Unies pour l'alimentation et l'agriculture [FAO] et des partenaires nationaux de huit pays pilotes) qui vise à renforcer la capacité des pays et des principales parties prenantes à innover dans des systèmes agricoles complexes, permettant ainsi d'améliorer les zones rurales. moyens de subsistance.
The Government of Burkina Faso embraced innovation in agriculture many years ago, thus CDAIS could build on solid foundations. Six innovation niche partnerships were selected, each working on very different types of innovations, technically, socially or organisationally, and facing contrasting challenges for capacity development.
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.
El folleto resume las principales características y objetivos del proyecto CDAIS, financiado por la UE, y ejecutado conjuntamente por la FAO y AGRINATURA para apoyar el Plan de Acción de la TAP.
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.
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.