Starting with background information, the report presents a summary of the plenary presentations of the workshop, which includes a brief on the post-conflict and protracted crisis environment in the 15 participating countries (Rwanda, Democratic Republic of the Congo, Congo Brazzaville, Sierra Leone, Burundi, Ethiopia, Uganda, Central African Republic, Chad, Guinea Bissau, Guinea Conakry, Liberia, Afghanistan, and Tajikistan). Some countries like Afghanistan qualified all in one as conflict, post-conflict and protracted crisis country.
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
The study was conducted in Kirinyaga County on rice and bananas and in Kisumu County on rice. Was used qualitative and quantitative methods and interviewed 247 farmers comprising 182 rice and 60 banana farmers respectively. Ten key informant interviews were conducted in Ahero and nine in Mwea Rice Schemes and the surrounding areas. One focus group discussion was held with Mwea Jua Kali/Valley bottom farmers. The data were analysed using descriptive statistics, frequency analysis and cross tabulations.
This synthesis report presents the outputs of the workshop organised by CTA at its headquarters in Wageningen, The Netherlands, 15-17 July 2008. The outputs are presented in two main parts, each corresponding to one of the workshop objectives, and ends with a section on the way forward as suggested by the workshop participants. It also includes a first attempt to come to a consolidated generic framework on AIS performance indicators, based on the outputs of the different working groups.
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.
This report is divided in 3 studies that acess the status of the agricultural innovation in Kenya.
The workshop objectives were to harmonize understanding of what innovation platforms (InP) are, why they are necessary, why stakeholders should promote formation of County InPs and development of a tentative action plan for each county. The workshop participants comprised diverse county agricultural sector stakeholders in Bungoma and Nakuru and in Kwale including representatives from three national level institutions.
This report is the result of a study that was carried out for the African Forum for Agricultural Advisory Services (AFAAS), to make an inventory of experiences with ‘market-oriented agricultural advisory services’ (MOAAS). Lessons learned have been drawn from the cases studied. These lessons are the basis for guidelines formulated for setting up market-oriented agricultural advisory services.
The aim of this report is to provide a detailed review of documented social learning processes for climate changeand natural resource managementas described in peer-reviewed literature. Particular focus is on identifying (1) lessons and principles, (2) tools and approaches, (3) evaluation of social learning, as well as (4) concrete examples of impacts that social learning has contributed to.
The impact of the COVID-19 pandemic will vary for different groups of rural population, with the highest impact expected to be on farmers and other vulnerable groups, especially women and youth. Targeted support is feasible only by activating a network of actors or organizations within agricultural innovation systems (AIS) and promoting customized technologies and practices suitable for location specific contexts.