CONTEXT: Adoption and diffusion of digital farming technologies are expected to help transform current agricultural systems towards sustainability. To enable and steer transformation we need to understand the mechanisms of adoption and diffusion holistically. Our current understanding is mainly informed by empirical farm-level adoption studies and by agent-based models simulating systemic diffusion mechanisms. These two approaches are weakly integrated.
Smallholder farmers in East Africa need information and knowledge on appropriate climate-smart agriculture (CSA) practices, technologies, and institutional innovations in order to effectively adapt to changing climatic conditions and cope with climate variability. This paper assesses farmer adoption of climate-smart agricultural practices and innovation after being exposed to Farms of the Future Approach (FotF). First; we explore and assess the various CSA technologies and practices; including institutional innovations farmers are adopting.
Relying on cross-sectional data from 300 smallholder rice farmers, the study examined the effects of agricultural extension on improved rice variety adoption and farm income in northern Ghana. A recursive bivariate probit (RBP) model was used to assess the effect of agricultural extension on adoption while regression with endogenous treatment effect model (RETEM) was adopted to evaluate the effect of agricultural extension on farm income. The results indicate a statistically significant effect of agricultural extension on both adoption and farm income.
Social learning processes can be the basis of a method of agricultural innovation that involves expert and empirical knowledge. In this sense, the objective of this study was to determine the effectiveness and sustainability of an innovation process, understood as social learning, in a group of small farmers in the southern highlands of Peru. Innovative proposals and its permanence three years after the process finished were evaluated. It was observed that innovation processes generated are maintained over time; however, new innovations are not subsequently generated.
This document represents a collaborative effort by the Secretariat of the Global Forum on Agricultural Research (GFAR) and the Regional Forums to agree on a common policy for advocacy on Information and Communication Management. The recognition of knowledge as a critical resource for practising efficient farming and developing agriculture makes sharing and exchange of knowledge globally vital for agricultural development.
Africa Lead II is a program dedicated to supporting and advancing agricultural transformation in Africa as proposed by the African Union Comprehensive Africa Agriculture Development Program. It will also contribute to the Feed the Future goals of reduced hunger and poverty by building the capacity of Champions—defined as men and women leaders in agriculture—to develop, lead, and manage the policies, structures and processes needed for the transformation process.
Africa–Europe Cooperation and Digital Transformation explores the opportunities and challenges for cooperation between Africa and Europe in the digital sphere.
This research explores the role of innovation platforms and how they relate to IAR4D and the innovation system perspective, with treatment both at the theoretical and case study level (Africa). The chapters of the book take up several sticky issues and engage with them critically: policy pathways, gender equity and inclusion, and knowledge and information sharing. The introductory chapter provides context on food crops, food security and the importance of women in production, processing and trade.
El modelo de Agencias de Gestión de la Innovación para el Desarrollo de Proveedores (AGI-DP) se diseñó e implementó con extensionistas rurales desde el año 2009 y hasta el 2014. Permite llevar a la práctica la selección, capacitación, desarrollo, seguimiento y evaluación de equipos técnicos especializados en extensionismo en red.
Drawn from numerous sources, including papers in this journal, this concluding paper synthesizes evidence on the relationship between agricultural research for development and poverty reduction, with particular emphasis on agri-food systems perspectives in shaping programs aimed at rural prosperity. Following the introduction in section 1, we revisit the ex ante set of 18 pathways in section 2 (which were laid out in our introductory paper for this SI), posing some critical questions: Can a manageable set of impact pathways be identified? How are they inter-related?