Prediction of late blight severity in a large panel of potato genotypes using low-altitude aerial images and machine learning methods
Hildo Loayza, Johan Ninanya, Susan Palacios, L. G. da Silva, Fernando Pujaico Rivera, Javier Rinza, Manuel Gastelo, Mariela Aponte, Jan Frederik Kreuze, Hannele Lindqvist‐Kreuze, Bettina Heider, Moctar Kante, David A. Ramírez
This study uses UAV-derived multispectral imagery and machine learning to predict late blight severity in potato genotypes, showing improved accuracy over traditional methods.
bioRxiv · Apr 9, 2026 · PreprintPlant Biology