Drone-Based Sesame Stress Detection
This is a news story, published by Phys Org, that relates primarily to The Hebrew University of Jerusalem news.
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complex crop stress scenariosPhys Org
•Business
Business & Economics
Flying smart: Triple-camera drone detects crop stress for smarter sesame farming

90% Informative
A team of researchers at The Hebrew University of Jerusalem has applied an advanced drone-based system that accurately detects combined nitrogen and water deficiencies in field-grown sesame.
Traditional remote sensing methods often fall short in detecting combined environmental stresses such as water and nutrient shortages.
The team's multimodal ensemble approach improved classification accuracy of combined nutrient and water stress from just 40%55% using conventional methods to an impressive 65%90% with their custom-developed deep learning system.
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