Raptor Maps applied its Artificial-Intelligence (AI) software solution to agriculture using its proprietary Harvest Monitor. The Harvest Monitor is similar to a “wingless” drone, consisting of configurable thermal and color cameras, high-accuracy GPS, surface mapping system, 4G and wifi communication, and onboard computing. The Harvest Monitor was powered by the implement (harvester, piler, etc.) and was field-tested with farmers and food processors to maintain continuous uptime during months of extreme harvesting and weather conditions.
Machine Learning for Drones
Drones are generating more data than we know what to do with. Every mission can generate thousands of images (or hours of video) that need analysis. With machine learning, we can teach algorithms to detect something we care about classify it, and localize it in space. From there, we can do further processing, such as measuring the diameter and mapping the density. By incorporating additional data streams and decision-making capabilities, your machine learning becomes artificial intelligence (AI).