This brief describes the activies carried out by the project: South-South knowledge transfer strategies for scaling up pro-poor bamboo livelihoods, income generation and employment creation, and environmental management in Africa. The project, funded by the European Union and IFAD and implemented by the International Bamboo and Rattan Organisation (INBAR), targeted three countries – Ethiopia, Madagascar and Tanzania. This project aims to Contributing to higher productivity and incomes, it fully conformed to the strategy of the EU-IFAD agriculture research for development programme (AR4D).
In this paper, is first described the design and development process of a modular ICT application system called GeoFarmer. Geofarmer was designed to provide a means by which farmers can communicate their experiences, both positive and negative, with each other and with experts and consequently better manage their crops and farms. We designed GeoFarmer in a collaborative, incremental and iterative process in which user needs and preferences were paramount.
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.
The Government's Tanzania Development Vision 2025 and the Five-Year Development Plan (FYDP II) set out ambitious goals for reducing poverty and sustainably industrializing so that the country can achieve middle-income status by 2025. The government recognizes agriculture as central to realizing its objectives of socioeconomic development, which are well-articulated in the Second Agriculture Sector Development Program (ASDP II).
This policy brief shows how digital tools can help to ensure that public money for agricul-tural extension is spent wisely. Governments often fund offices, training centers, and the salaries of extension officers, but cannot eas-ily review the impacts of these expenditures. This is because the activities of extension agents are not monitored systematically. Ex-ension services rarely generate quantitative data on the effects of their work.
Breeding programs for local breeds kept by small farmers in developing countries are a major challenge. Animal recording of pedigree and performance under conditions of subsistence livestock farming is remain difficult or next to impossible. This means that standard genetic evaluations, as well as selection and planning of mating based on estimates of the animals' genotypes, cannot be done at any level in the population of the target breed or genetic group.
Innovation platforms are fast becoming part of the mantra of agricultural research and development projects and programs with an innovation objective.
In an effort to reinvigorate and strengthen its agriculture research system, the Department of Agriculture, Ministry of Agriculture and Forests (MoAF), designed a series of capacity building programmes over the last six months. The initiatives were instrumental in building functional capacities (soft skills) of over 90 officials, who mostly represented the country’s four agriculture research centres.
A network of women farmers’ leaders is set to drive widespread adoption of innovations and technologies across India. The International Rice Research Institute (IRRI), together with the Department of Biotechnology of India’s Ministry of Science and Technology, are training women farmer leaders on advanced rice production and soft skills to help boost food security in India.
Although agricultural innovation systems (AIS) have recently received considerable attention in academic and development circles, links between an AIS's regional specifications and structural-functional analysis have been neglected. This paper aims to understand how regional and structural dimensions determine systemic problems and blocking mechanisms that, in turn, hinder a regional AIS's function.