This article gives insights about collaboration and how this process can help agricultural innovation in Africa.

Transforming a centrally planned system of agricultural production to one where individual farmers are accorded choice in crop mix and land use management practices is much more than a structural change. Embedded within this process is a fundamental shift in how knowledge is generated, disseminated and adopted. Upon dissolution of the Soviet Union, one immediate priority was the privatization of state farms and thereby relaxation of policies for collective production.

Decision support systems (DSS) have long been used in research, service provision and extension. Despite the diversity of technological applications in which past agricultural DSS canvass, there has been relatively little information on either the functional aspects of DSS designed for economic decisions in irrigated cropping, or the human and social factors influencing the adoption of knowledge from such DSS.