Early detection of esca disease in asymptomatic vines by Raman Spectroscopy

Year: 2022

Authors: Baratto C.; Ambrosio G.; Faglia G.; Turina M.

Autors Affiliation: Natl Inst Opt CNR INO, Natl Res Council, PRISM Lab, I-25123 Brescia, Italy; Univ Brescia, Dept Informat Engn, I-25133 Brescia, Italy; CNR IPSP, I-25133 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.

Journal/Review: IEEE SENSORS JOURNAL

Volume: 22 (23)      Pages from: 23286  to: 23292

KeyWords: Raman Spectroscopy; Esca disease; precision agriculture; chemometric.
DOI: 10.1109/JSEN.2022.3211616

ImpactFactor: 4.300
Citations: 6
data from “WEB OF SCIENCE” (of Thomson Reuters) are update at: 2024-11-03
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