A new study unveils an advanced drone-based system that offers, for the first time, a smarter way to monitor sesame health. By combining hyperspectral, thermal, and RGB imagery with deep learning, researchers have developed a powerful method for detecting simultaneous nitrogen and water deficiencies in field-grown sesame. This innovative approach leverages cutting-edge UAV-imaging technology and artificial intelligence to improve the accuracy of stress detection in crops. The integration of multiple data sources enables identification of combined nutrient and water-related deficiencies. This significant step forward in the field of precision farming not only enhances crop management but also supports more sustainable and efficient use of water and fertilizers, key components in building climate-resilient food systems.
[Hebrew University of Jerusalem]– A team of researchers led by Dr. Ittai Herrmann at The Hebrew University of Jerusalem in collaboration with Virginia State University, University of Tokyo and the Volcani Institute, has applied an advanced drone-based system that accurately detects combined nitrogen and water deficiencies in field-grown sesame paving the way for more efficient and sustainable farming.
Click here to see more...