New Drone Tech Could Revolutionize Sesame Farming Amid Climate Challenges

New Drone Tech Could Revolutionize Sesame Farming Amid Climate Challenges

While traditional remote sensing techniques could only detect combined nitrogen and water deficiencies with 40–55% accuracy, the team’s new approach boosted that figure to between 65% and 90%

Study: AI-Powered Drones Fuel Advances in Precision Ag for Early Detection of Crop Stress

Early stress detection via precision agriculture just got a serious upgrade, according to new research out of the Hebrew University of Jerusalem. Led by Dr. Ittai Herrmann, the team developed a drone-based platform that blends hyperspectral, thermal, and RGB imaging with powerful deep learning technology to precisely identify nitrogen and water deficiencies in sesame crops. Sesame, known for its resilience to climate variations, is rapidly growi…