Noa Schor

Ben-Gurion University of the Negev, Agricultural Research Organization

Papers

Total Citations

198

H-Index

About

Noa Schor is a leading researcher in agricultural robotics, specializing in automated disease detection for greenhouse crops. Her work focuses on developing robotic systems to identify and monitor plant diseases, particularly in bell peppers, aiming to revolutionize disease control, increase crop yield, and reduce pesticide use. Schor’s major contribution is the creation of a robotic detection system that can simultaneously identify two of the most destructive threats to greenhouse peppers: powdery mildew and tomato spotted wilt virus (TSWV). Her most-cited paper, "Robotic Disease Detection in Greenhouses: Combined Detection of Powdery Mildew and Tomato Spotted Wilt Virus" (2016, 143 citations), demonstrates the feasibility of a single robotic platform for early, accurate detection of both diseases. This work, along with her subsequent studies (2017, 48 citations; 2015, 7 citations), addresses critical challenges in greenhouse monitoring, such as variable lighting and plant occlusion, paving the way for precision agriculture. Schor’s research has significant implications for sustainable farming, offering a high-tech solution to reduce crop loss and chemical inputs, making her a key innovator in the field of agricultural robotics.