Our paper “UAV-Based Crop and Weed Classification for Smart Farming” received the IEEE Robotics & Automation Best Automation Paper Award at the IEEE International Conference on Robotics and Automation – ICRA.
With a 100 megapixel camera on the hunt for plant diseases
With the iXM 100MP from Phase One, we achieve a large area throughput for aerial photography with a ground resolution in the millimeter range. Based on high-resolution RGB image data, our software automatically detects symptoms of yield-impacting plant diseases and thus enables crop analysis at a new level.
Pheno-Inspect at the Photogrammetric Week 2019
Today Pheno-Inspect’s CEO Philipp Lottes presented current topics from research and development in the company. He reported on the possibilities of high-throughput analysis of field tests with drones and the integration of real-time classification systems in mobile robots.