"NASA's Aerial Surveillance Identifies Wine Grape Disease in California"

Researchers from NASA's Jet Propulsion Laboratory and Cornell University have used a remote sensing technique developed by NASA to accurately detect a viral disease called GLRaV-3 in grapevines. The disease, which causes significant damage to the U.S. wine and grape industry, is typically detected through labor-intensive methods. By using machine learning and NASA's Airborne Visible/InfraRed Imaging Spectrometer, the researchers were able to differentiate infected and non-infected vines with 87% accuracy, providing grape growers with early warning to intervene. The study highlights the potential of remote sensing and machine learning in agricultural decision-making and pathogen surveillance efforts.