Small Scale Crop Mapping using Artificial Intelligence and Machine Learning

Project details:

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.