Early detection of esca disease in asymptomatic vines by Raman Spectroscopy
Anno: 2022
Autori: Baratto C.; Ambrosio G.; Faglia G.; Turina M.
Affiliazione autori: CNR-INO, PRISM Lab, Via Branze 45, Brescia, ITALY, ; CNR-IPSP, Turin, Brescia, ITALY,
Abstract: Early detection of esca disease in grapevines is fundamental to calibrating proper pesticide use in sustainable vineyard management systems. This paper is a proof of concepts showing that Raman Spectroscopy (RS) combined with chemometric analysis can be used as a non-destructive sensor to implement precision agriculture for early detection of the disease through a new biochemical marker. Symptomatic and symptomless branches from an esca-developing vine and from healthy esca-free vines from a vineyard were investigated by RS and chemometrics, using the final outcome of the specific disease syndrome as the final benchmark. As a result, the model is always able to correctly classify all the test samples, showing auspicious results to perform precision agriculture-based future therapeutic approaches.
Giornale/Rivista: IEEE SENSORS JOURNAL (ONLINE)
Volume: 22 (23) Da Pagina: 23286 A: 23292
Parole chiavi: Raman Spectroscopy; Esca disease; precision agriculture; chemometric.DOI: 10.1109/JSEN.2022.3211616