Detection of downy mildew infection in grapevine leaves using field spectroscopy and machine learning
Fernando Portela·Cláudio A. Paredes·M.I. Valín·Raul Morais·Joaquim J. Sousa·Luis Padua·José Ramón Rodríguez-Pérez·Susana Mendes
Abstract Context Downy mildew, caused by Plasmopara viticola , remains one of the most damaging diseases affecting grapevines, especially in humid viticultural regions such as the “Vinhos Verdes” in northern Portugal. Traditional detection relies on visual inspection and laboratory techniques, which are subjective and reactive, often delaying effective intervention. Aims This study aims to evaluate the potential of field spectroscopy combined with machine learning to detect downy mildew in Vitis