The Feed the Future Innovation Lab for Collaborative Research on Grain Legumes (Legume Innovation Lab; LIL), supports ten multi-disciplinary collaborative research and institutional capacity strengthening subcontracted projects working in 13 Feed the Future countries in Africa and Central America and the Caribbean involving scientists at 10 US universities, 3 USDA/ARS research centers, and 23 developing country national agriculture research systems and universities.
This report provides an analysis of potential capacity and training needs based upon a review of four documents and gives recommedations on general ministerial structure, policy analysis, monitoring and evaluation, financial management and budget, food security, reward and incentive structures, and specific technical needs.
Commercial Villages Stores (CVS) Programme has been developed and is being implemented by Farm Concern International (FCI) with financial support from USAID/COMPETE (the Competitiveness and Trade Expansion Program) in Kenya and Uganda. The programme, which commenced in September 2009, is aimed at graduating smallholder farmers from subsistent farming to market-oriented production as active and reliable agri-commodity value chain players.
The USAID COMPETE (the Competitiveness and Trade Expansion Program) funded Commercial Village Stores (CVS) project implemented in Kenya, Meru region in Eastern Province and Eastern Uganda (Jinja) has continued to educate the target communities on post harvest solutions at the village level. Quarter 4 (July-Sept 2010) activities sought to build on strengthening the Meru sites collective action in post harvest handling and storage at the village level with an outreach to more than 10000 farmers in Igoji, Tigania East, Tigania West and Tharaka Districts.
The Commercial Village Stores (CVS) project funded by USAID COMPETE (the Competitiveness and Trade Expansion Program) implemented in Kenya, Meru region in Eastern Province and Western Uganda Bushenyi district has continued to benefit under the project.
The Scaling Agricultural Innovations Workshop gathered scaling experts from a range of organizations and agriculture sectors to share their experiences and ideas on the findings and lessons learned from five case studies (hybrid maize in Zambia, irrigated rice in Senegal, Purdue Improved Crop Storage bags in Kenya, agricultural machinery services in Bangladesh, and Kuroiler chickens in Uganda).
The report introduces 30 young innovators, 21 featured with full stories, and nine other "innovators to watch". They come from countries including Barbados, Botswana, Cameroon, Côte d'Ivoire, Kenya, Nigeria, Uganda, Jamaica, Senegal, Tanzania. The publication presents a multidimensional picture of the emerging field of ICT entrepreneurship in agriculture in developing countries. It describes challenges but also successes already achieved. It contains advice for aspiring agtech entrepreneurs as well as recommendations from youth on how to support their ventures.
This report make an analysis of Sorghum value chain in Uganda. Based on that, innovation opportunities in Uganda that can influence expansion of sorghum Value Chain and enhance socio-economic gains of all the actors are identified. Some of the identified opportunities among others include increasing farm level production through enacting supportive policy and providing support to organizations in seed production and distribution, introduction of small scale sorghum processing, and increasing their capacity as well as that of the existing processing entities
This report aims to analyse the value chain of Organic Pinneaples in Uganda and to identify innovation opportunities in order to increase the market share of the product
This report brings the information about the capacity needs analysis carried out by CRP in five countries. Capacity development is a core enabling factor in the delivery of the 5 Livestock CRP flagships. One of the strategic capacity development actions for the Livestock CRP is to design evidence based capacity development interventions based on capacity needs analysis.