• Small-scale crop mapping
    Kenya continues to depend on large-scale agricultural production as one of the country’s main economic pillars. However, the continuous subdivision of the once large-scale agricultural farms has led the stakeholders to shift and now focus on the small-scale agricultural farms. Mapping of these small-scale farms for monitoring and management has however been hindered by various factors chief among them being the costs involved. Advancements in earth observation (EO) and technology though have provided low-cost means to mapping of these small-scale farms. The small-scale crop mapping project, employing Artificial Intelligence (AI) and Machine Learning (ML) techniques, thus utilized AI/ML and EO techniques to develop mobile and web application tools for monitoring and managing the small-scale farms in Muringato catchment, Nyeri, Kenya. The mobile and web application were presented to Kenya space agency who funded the project.

  • Participatory GIS tools development for environmental conservation
    Sustainable utilization of hydrological and water catchment areas ensures perpetual water availability for the communities. In reality however, anthropogenic factors have been identified as the greatest contributors to environmental degradation leading to global challenges such as climate change, loss of biodiversity and the overuse of critical natural resources. This environmental degradation, and its effects, continue to be observed within various communities. Thus, the monitoring, managing and conservation of the environment requires equal but differentiated efforts by each member of the community. The development of participatory Geographic Information Systems (PGIS) tools that are user friendly for use by various members of the community has been proposed as one of the environmental management tools in involving the members of the community in participating in environmental conservation of their surrounding ecosystem.