Machine learning and drone-mounted RGB and infrared sensors are being developed to estimate soil organic carbon pools from proximal sensing of bare soil. The approach generates interpolated maps linking aerial imagery to...
A deep learning solution that detects diseased potato plants in real time to enable site-specific agrochemical application. The technology aims to reduce over-application of herbicides and fungicides, supporting sustaina...