Xoriant helped a leading US chemical company transform its crop phenology monitoring by leveraging computer vision, deep learning, and satellite-based image processing. Xoriant selected and processed optimal satellite data sources, including Bing maps for farm boundaries and Sentinel-2 for crop phenology, removing cloud cover and interpolating missing data. Their cloud-based solution reduced offline sensor use and manual farm boundary data collection by 90%, enhanced yield health assessment accuracy, and enabled remote, automated crop monitoring, lowering costs and manpower needs for the client.

Join for free to read