This study presents detailed examples of how repeat Sénékéla users have changed their farming and marketing practices, and the reasons underpinning these changes. Data was collected through a series of semi structured interviews with repeat Sénékéla users. The findings of the case study serve to complement quantitative data about customer behavior change that was collected through a structured survey with 50 customers from Mali
This report aims to o estimate the current use of machinery in rice and bananas value chains; To establish determinants of mechanization in rice and bananas along the entire value chains; and estimate the effects of the determinants on mechanization levels. This study therefore seeks to identify factors that influence
mechanization levels for rice and bananas value chains. The findings from this study will help provide technical and policy recommendations for the improvement of not only the rice and banana value chains but the entire agriculture sector
This study aims at inspiring the success of further agricultural innovation policies. Findings fromthis study will provide useful inputs for researchers, governments, the private sector, donors, and other stakeholders to improve policy-maker engagement processes for innovations to ensure appropriate development and dissemination of innovation and maximise their socioeconomic impacts on the wider population.
This study aims to inspire the success of further agricultural innovation policies. Findings from this study will provide useful inputs for researchers, governments, the private sector, donors, and other stakeholders to improve policy‐maker engagement processes for innovations to ensure appropriate development and dissemination of innovation and maximise their socioeconomic impacts on the wider population. In the context of this study, the levels to consider for the study are local and national.
The expected results of this report are the full understanding and identification of the frame that answers the following questions: To what level policymakers in Tunisia are committed? On what exact base the agricultural decisions, whether to support an innovation or not, are made? To answer these questions, interviews were made with key partners from public institutions on each success/failure case to identify the major strengths and weaknesses related to each agricultural innovation
The study is an attempt to identify the type and channels of acquiring agricultural information by farmers; and whether this information helps them in their decisions to adopt new and improved technologies, which can then be translated into higher yield. A unique two-period panel data sets that come from surveys conducted in 2011 and 2013 by the Central Statistical Agency in collaboration with Ethiopian Strategic Support Program were used to evaluate Agricultural Growth Program (AGP)
The objective of this paper is twofold. First, using a three rounds panel data of 7110 households, was investigate the adoption decisions and the complementarities among the four labor-intensive technologies (agricultural extension service, irrigation, soil conservation and planting seeds in a row) and a comprehensive use of four modern inputs (improved seed variates, inorganic fertilizer, pesticides, organic fertilizer) which have been frequently adopted by smallholder farmers.
The study responds to the request by farmers in the Hohoe and Jasikan Rice Innovation Platforms, to identify traders and consumers’ rice preferences to enable them produce rice varieties that meet users’ demands. The study provided strategic guidelines for the development of a marketing and promotional plan for locally produced rice in Ghana. The report is structured as follows: Chapter one introduces the study including the study objectives, design and methodology.
This document has as objectives characterizing the promising technological innovations developed for rice, soybean, small ruminant and poultry sectors.
The current study sought to analyse the livelihood impact of innovation platforms on small holders in the study areas based on the previous studies that identified successful Innovation Platforms in Eastern and Western Kenya. The study concentrated on four successful innovation platforms that were identified in a previous study In that study, fifteen innovation platforms were ranked based on a given criterion out of which the four innovation platforms were purposively chosen.