US researchers say they’ve pinpointed individual spud plants infected with potato virus Y with 90 per cent accuracy, using hyperspectral cameras mounted on drones. Donna Delparte, an assistant professor of geosciences at Idaho State University, and graduate student Mike Griffel have successfully tested a “computer-learning” algorithm they developed to tease out PVY from spectral imaging “background noise,” such as field variability and unrelated crop stress. “Our premise was to look at all of these wavelengths of light the human eye can’t see and look for differences between healthy plants and plants infected with PVY,” Griffel said, adding their images had leaf-scale resolution. More