In this paper, is first described the design and development process of a modular ICT application system called GeoFarmer. Geofarmer was designed to provide a means by which farmers can communicate their experiences, both positive and negative, with each other and with experts and consequently better manage their crops and farms. We designed GeoFarmer in a collaborative, incremental and iterative process in which user needs and preferences were paramount.

The Colombian Ministry of Agriculture Colombia, an international research center and a national farmers’ organization developed a data-driven agricultural program that: (i) compiles information from multiple sources; (ii) interprets that data; and (iii) presents the knowledge to farmers through the local advisory services. Data was collected from multiple sources, including small-scale farmers. Machine learning algorithms combined with expert opinion defined how variation in weather, soils and management practices interact and affect maize yield of small-scale farmers.

This article describes the experience of analyzing groups of Colombian fruit farmers’ capacity to collect information and their interest and ability to take advantage of the opportunities offered by information and communication technologies (ICTs). Three cycles were designed to understand the attitudes, skills, and current practices of fruit growers and to define the necessary conditions for effective information sharing. The three cycles involved individual farmers, farmer groups meeting face to face, and virtual meeting with farmer groups.