In situ Raman investigation of plant pathogens for sustainable agriculture

Nowadays, sustainable crop management is mandatory to limit economical losses, tailor pesticide usage and reduce crop damages caused by plant pathogens, especially when the visual detection of symptoms occurs too late to allow a therapeutic intervention. Raman spectroscopy is a non-invasive method that can be easily accessed for in-field monitoring, via handheld portable instruments, whose benefits rely on the capability of directly monitoring molecules associated with the plant health. The aim of this work is to develop a non-destructive methodology by combining the sensing capabilities of Raman spectroscopy with chemometric analysis, to classify the plants as healthy or infected.

Authors

Publication Details

Published
2025-04-02
DOI
https://doi.org/10.1117/12.3042744
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

In situ Raman investigation of plant pathogens for sustainable agriculture

M. Ciuffo, Niccolò Miotti, C. Baratto, Emanuela Gobbi et al.
1 links
Spectroscopy and Chemometric Analyses
article

In situ Raman investigation of plant pathogens for sustainable agriculture

M. Ciuffo, Niccolò Miotti, C. Baratto, Emanuela Gobbi, Massimo Turina, G. Faglia, Lorenzo Pandolfi
article en

Abstract

Nowadays, sustainable crop management is mandatory to limit economical losses, tailor pesticide usage and reduce crop damages caused by plant pathogens, especially when the visual detection of symptoms occurs too late to allow a therapeutic intervention. Raman spectroscopy is a non-invasive method that can be easily accessed for in-field monitoring, via handheld portable instruments, whose benefits rely on the capability of directly monitoring molecules associated with the plant health. The aim of this work is to develop a non-destructive methodology by combining the sensing capabilities of Raman spectroscopy with chemometric analysis, to classify the plants as healthy or infected.

Zero hunger
Openalex Percentile: Top 93%
Spectroscopy and Chemometric Analyses
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.