This paper presents a case study of the Honey Bee Network’s decentralized model for collecting, verifying and disseminating grassroots innovations and provides a roadmap for its replication in Africa. The Honey Bee Network brings together governmental and non‐governmental institutions, members of academia, scholars and a large number of volunteers.
This study investigated how value chain governance influences farmer participation in vegetable markets and food security in Kenya. This study employed exploratory case study design to provide chain architecture, isolate primary actors, their roles, relations, constraints and opportunities for upgrading by smallholders.
Ante la poca oferta de textos que, aplicando los conceptos de marketing al área de los Agronegocios, indiquen cómo detectar oportunidades de mercado, se presenta una propuesta sobre cómo ayudar al estudiante en estos aspectos. La enseñanza que se entrega a los estudiantes incluye los conceptos de mercado, en que se les propone y recomienda partir de las necesidades del consumidor, generar ideas y luego evaluarlas, lo que está muy bien, siempre que se conozcan dichas necesidades.
In Yatta sub-County, a semi-arid land, there is scanty information on the causes and effects of climate change, as well as agricultural adaptation strategies. This scanty information assessment of climate related risks, and decision making about appropriate adaptation measures. A survey was conducted in two wards of Yatta, Kenya, to identify opportunities for building farmer capacity in dealing with climate variability.
The study analyzes the current state of Agricultural Technical and Vocational Education and Training (ATVET) in Africa and presents its challenges and opportunities. A review of the ATVET in selected Sub-Saharan Africa countries shows that there are far too few training opportunities for young people and that often, the training offered does not match the needs of the private sector and of local administrations. ATVET trainings focus primarily on production skills and on producers themselves with
This report is a summary of the several activities pursued within the Program of Accompanying Research for Agricultural Innovation (PARI) to contribute to sustainable agricultural growth, food and nutrition security in Africa and India. The Institute of Agricultural Engineering, Tropics and Subtropics worked in the identification of technological innovations and further intervention in the dairy value chain, offering a potential solution for cooling milk from the earliest stage of milk production and
On-farm agricultural innovation through incorporation of new technologies and practices requires access to resources such as knowledge, financial resources, training, and even emotional support, all of which require the support of different actors such as peers, advisors, and researchers. The literature has explored the support networks that farmers use and the overall importance ranking of different support actors, but it has not looked in detail at how these networks may differ for different farmers.
This paper comparatively analyzes the structure of agricultural policy development networks that connect organizations working on agricultural development, climate change and food security in fourteen smallholder farming communities across East Africa, West Africa and South Asia.
Agricultural Extension Reforms in South Asia: Status, Challenges, and Policy Options is based on agricultural extension reforms across five South Asian countries, reflecting past experiences, case studies and experiments. Beginning with an overview of historical trends and recent developments, the book then delves into country-wise reform trajectories and presents several cases testing the effectiveness of different types (public and private) and forms (nutrition extension, livestock extension) of extension systems.
The objective of the study was to identify a viable trade-off between low data requirements and useful household-specific prioritizations of advisory messages. At three sites in Ethiopia, Kenya, and Tanzania independently, we collected experimental preference rankings from smallholder farmers for receiving information about different agricultural and livelihood practices. At each site, was identified socio-economic household variables that improved model-based predictions of individual farmers’ information preferences.