D3.2 - Raman Spectroscopy applied to detection of grapevine’s disease: the case of Esca detection

Abstract

We report on the use of Raman Spectroscopy (RS) and chemometric analysis as a non-invasive sensor to implement precision agriculture for early detection of the ESCA disease. Initial encouraging findings allow to identify symptomless leaves in ESCA-affected vines as belonging to a diseased vine through a change in spectroscopic properties measured by RS likely due to a change in carotenoids. To date, there is no report of RS for Esca disease detection.