About the research
Skeye is expanding its geospatial analytics capabilities into a deeper layer of agricultural and environmental intelligence. Our platform already uses AI and remote sensing to analyse satellite imagery, detect agricultural fields, identify land features, and support data-driven decision-making for agriculture and environmental monitoring. We are now evolving this capability further by researching how geospatial data, AI models, and field-level indicators can help organisations better understand soil health, crop conditions, water dynamics, and environmental risk.
The goal is not only to observe land from above, but to help interpret what is happening within it. Bringing these layers together through a practical, map-based interface that makes complex geospatial and environmental data accessible without requiring deep expertise in AI, GIS, or remote sensing.