This study assessed intermediate results of an investment intended to support climate change adaptation and resilience-building among farmers’ cooperatives in Rwanda. The assessment was based on a purposive sampling survey of farmers’ perspectives conducted in sites in 10 programme intervention districts of the country’s 30 districts.
Cassava is an important source of food and income in Uganda. However, it cannot be marketed over a long time and distance, thereby reducing incomes and food security to growers, consumers and traders. This in turn leads to less investments and hence low productivity. To address this challenge, the project of Extending the Shelf life of Fresh Cassava Roots for Increased Incomes and Postharvest Loss Reduction proposed to set up two packhouses in order to test their commercial viability.
Background: Up to now, efforts to help local communities out of the food-insecurity trap were guided by researcher (or other actors)-led decisions on technologies to be implemented by the communities. This approach has proved inefficient because of low adoption of the so-called improved technologies. This paper describes the strategic approaches to the development of a climate-smart village (CSV) model in the groundnut basin of Senegal.
The promotion of land, soil and water conservation measures has been a widespread development in sub-Saharan Africa in a bid to tackle degradation and improve productivity. As a result, several governments have launched various campaigns on soil, land and water conservation measures. The aim of this study is to determine some of the factors that influence farmers’ awareness (knowledge) and adoption of land, soil and water conservation practices. Data for this study was collected from 312 households using a questionnaire survey in the Chinyanja Triangle of Southern Africa.
The Feed the Future Uganda Agricultural Inputs Activity is to increase the use of high quality agricultural inputs in Uganda by increasing availability of high quality inputs to farmers in Feed the Future focus districts, and decreasing the prevalence of counterfeit agricultural inputs.
This report covers the first four months of implementation, corresponding to the period February 22–June 30, of the USAID Feed the Future Mozambique Agricultural Innovations Activity. During this period, key and non-key personnel were mobilized and procurement and office start-up activities were carried out.
This decision guide is intended to help extension professionals and their organizations make informed decisions about which extension method and approach to use for providing information, technologies and services to rural producers and to facilitate interactions and knowledge flow. Expected users include field-based rural advisors, extension managers and programme planners.
The main objective of the Guidelines is to provide a non-binding complement to other guidelines and offer advice to RDP evaluation stakeholders on how to carry out the evaluation activities for answering the common evaluation questions related to innovation. Since the RDP’s effects on innovation in rural areas can be expected to take place, most likely, in the long-term, the guidelines focus in particular on those evaluation related activities, which will be reported in the AIR in 2019 and in the ex post evaluation. The Guidelines are structured in three parts:
Lors de l'intervention d'une plate-forme d'innovation (groupe d'acteurs concernés) dans un domaine donné, nous avons tendance à attribuer les causes du changement aux actions de cette plate-forme. Cet article utilise le cas d'une plate-forme d'innovation dans le secteur du karité au Mali pour analyser comment les plates-formes d'innovation produisent les résultats escomptés.
Se reconoce que los procesos de innovación suceden entre un conjunto heterogéneo de actores, donde el Análisis de Redes Sociales (ARS) es una herramienta prometedora para su análisis y comprensión y, así, diseñar intervenciones basadas en red para catalizarla. Las intervenciones en red describen el proceso a través del cual se usan datos relacionales para acelerar el flujo de información entre los actores que la conforman.