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.
This Final report identifies best-fit practices, and makes recommendations on how to target women advisory service providers in capacity development programmes.
At the request of the USAID Malawi Mission, the MEAS project (Modernizing Extension and Advisory Services – a USAID funded project) conducted a rapid scoping mission to examine the pluralistic extension system in Malawi and to develop recommendations for strengthening extension and advisory services in the country.
The project case-studies described in this document a range of local-level, mainly donor-funded projects in four countries (Sierra Leone, Benin, Uganda and Mozambique). These projects incorporate climate change in their design and rationale in different ways, but generally base themselves on broad-brush climate trends or climate uncertainty rather than on specific downscaled projections. They also demonstrate a continuum ranging from pure knowledge provision, through breeding, seed supply, input provision and marketing, to provision of hardware and infrastructure, especially in irrigation.
Coffee production is the main economic activity for smallholder farmers in Rwanda; it is also a major export crop. However, Rwandan coffee production has been facing structural changes with a significant decline in production. Considering the importance of the coffee sector to rural livelihoods and its potential role in export earnings, there is a need to ensure that small-scale coffee farmers efficiently use scarce resources in their production activities.
Agriculture Innovation System (AIS) thinking and approaches are largely perceived as a sine-qua-non for the design and implementation of effective and sustainable agriculture development programmes. AIS has gained popularity in the agriculture innovation literature and has been embedded in policy documents of agriculture sector institutions in many countries. However, there is much less evidence of AIS thinking influencing the behaviours of research and extension institutions and staff ‘on the ground’.
There are very few published literature sources that focus on the potential benefits of m-Agri services in Africa and none of which explore their sustainability. This study, therefore, explores the evolution, provision, and sustainability of these m-Agri services in Africa. An overview of the current landscape of m-Agri services in Africa is provided and this illustrates how varied these services are in design, content, and quality.
Agricultural extension in sub-Saharan Africa has often been criticised for its focus on linear knowledge transfer, and limited attention to systemic approaches to service delivery. Currently, the region is experiencing a new-ICT revolution and there are high expectations of new-ICTs to enhance interaction and information exchange in extension service delivery. Using an innovation systems perspective, we distinguish the roles demand-articulation, matching demand and supply, and innovation process management for innovation-intermediaries.
Sustainable intensification (SI) is promoted as a rural development paradigm for sub-Saharan Africa. Achieving SI requires smallholder farmers to have access toinformation that is context-specific, increases their decision-making capacities, andadapts to changing environments. Current extension services often struggle toaddress these needs. New mobile phone-based services can help.
The paper explores the strength of social networks in the agricultural innovation systems (AISs) in Ghana and the effect of AISs on adoption of improved farm technology. The paper uses social network analysis (SNA) tools to identify, map and analyze the AISs and the two-stage Heckman selection model. Combining qualitative and quantitative methods allows testing the differential effects of social networks on technology adoption in the Ghananian Plantain Sector