The central question in increasing productivity and generating incomes in African agriculture is how to move from technology generation to innovations that respond to constraints of agricultural production along the value chains. This question was considered in the context of subsistence agriculture, smallholder production systems, inefficient marketing and investments by the private sector, a preponderance of public interventions, and inadequate policies.
The failure of the linear and non-participatory Agricultural Research and Development approaches to increase food security among smallholder farmers in sub-Saharan Africa has prompted researchers to introduce an Integrated Agricultural Research for Development (IAR4D) concept. The IAR4D concept uses Innovation Platforms (IPs) to embed agricultural research and development organizations in a network to undertake multidisciplinary and participatory research.
Although many agronomic researchers currently focus on designing and developing decision support systems, they rarely discuss the methodological implications of such work. In this paper, with the examples of two decision support systems, we propose methodological elements for conducting the participatory design of such tools. The authors proposition aims at building dialogue between designers and users but also between humans, tools and work situations.