The sustainable agricultural intensification research and learning in Africa (SAIRLA) project is a five-year program (2015–2020) funded by the UK Department of International Development. The project seeks to generate new evidence and design tools to enable governments, investors and other key actors to deliver more effective policies and investments in sustainable agricultural intensification (SAI) that strengthen the capacity of poorer farmers’, especially women and young people, to access and benefit from SAI.
Strengthening the capacity of farmer training centers (FTCs) in Ethiopia and enhancing FTC‐based training and knowledge services is important to leverage and optimize potential contributions of FTCs to facilitating market‐led and knowledge‐based agricultural transformation.
Group work by participants in the SEARCA Forum-workshop on Platforms, Rural Advisory Services, and Knowledge Management: Towards Inclusive and Sustainable Agricultural and Rural Development, Los Banos, 17-19 May 2016.
Feedback from participants in the SEARCA Forum-workshop on Platforms, Rural Advisory Services, and Knowledge Management: Towards Inclusive and Sustainable Agricultural and Rural Development, Los Banos, 17-19 May 2016.
This innovation story narrates the experience of Improving Productivity and Market Success (IPMS) project on innovative banana value chain development in Metema district, Amhara, Ethiopia. The project introduced banana production systems in the district for the first time in 2005. IPMS together with the stakeholders provided support along the banana value chain on production, in put supply and marketing.
This presentation was realized for the GFAR workshop on "Adoption of ICT Enabled Information Systems for Agricultural Development and Rural Viability" (at IAALD-AFITA-WCCA World Congress, 2008). It presents lessons learned through linking research to extension, including examples from projects in Nigeria, Colombia, Uganda ,Costa Rica, Egypt and Bhutan.
The objective of this report is to identify and evaluate best practices in smallholder private irrigation in West Africa. The report is based on a comparative assessment of the smallholder private irrigation subsector in Burkina Faso, Mali, Niger, and Nigeria, which included a literature review, field visits, and workshops at both national and regional levels. The task lists for the assessment is provided in annex one. This report first presents the main features of smallholder irrigation and the development projects that have promoted its use in West Africa in chapter two.
This report summarizes the findings of the Nigeria Agriculture Public Expenditure Review (NAGPER). The NAGPER was undertaken to achieve four main objectives: (i) establish a robust data base on public expenditure in the agricultural sector; (ii) diagnose the level and composition of agricultural spending in the recent past; (iii) understand the budget processes that determine resource allocation in the sector; and (iv) draw preliminary policy recommendations for agriculture. These objectives are admittedly modest.
In this paper, was analyzed farmers' preferences for high-input maize production supported by site-specific nutrient management recommendations provided by an ICT-based extension tool that is being developed for extension services in the maize belt of Nigeria. Was used a choice experiment to provide ex-ante insights on the adoption potentials of site-specific extension services from the perspective of farmers. We control for attribute non-attendance and account for class as well as scale heterogeneity in preferences using different models, and find robust results.
Globally, the role of extension agents in scaling up the utilization of Climate Smart Agricultural Initiatives (CSAI) by farmers remains very crucial. This study examined the determinants of the involvement of extension agents in the dissemination of CSAI to farmers. A two-staged random sampling technique was used to elicit information from 277 extension agents in South West Nigeria using a structured questionnaire. Data were analysed using frequency counts, percentage and linear regression analysis