Web of Science: 4 cites, Scopus: 8 cites, Google Scholar: cites,
Polarimetric observables for the enhanced visualization of plant diseases
Rodríguez, Carla (Universitat Autònoma de Barcelona. Departament de Física)
Garcia-Caurel, Enrique (Institut Polytechnique de Paris)
Garnatje, Teresa (Institut Botànic de Barcelona)
Serra i Ribas, Mireia (Universitat Autònoma de Barcelona. Departament de Física)
Luque, Jordi (Institut de Recerca i Tecnologia Agroalimentàries)
Campos Coloma, Juan (Universitat Autònoma de Barcelona. Departament de Física)
Lizana Tutusaus, Ángel (Universitat Autònoma de Barcelona. Departament de Física)

Data: 2022
Resum: This paper highlights the potential of using polarimetric methods for the inspection of plant diseased tissues. We show how depolarizing observables are a suitable tool for the accurate discrimination between healthy and diseased tissues due to the pathogen infection of plant samples. The analysis is conducted on a set of different plant specimens showing various disease symptoms and infection stages. By means of a complete image Mueller polarimeter, we measure the experimental Mueller matrices of the samples, from which we calculate a set of metrics analyzing the depolarization content of the inspected leaves. From calculated metrics, we demonstrate, in a qualitative and quantitative way, how depolarizing information of vegetal tissues leads to the enhancement of image contrast between healthy and diseased tissues, as well as to the revelation of wounded regions which cannot be detected by means of regular visual inspections. Moreover, we also propose a pseudo-colored image method, based on the depolarizing metrics, capable to further enhance the visual image contrast between healthy and diseased regions in plants. The ability of proposed methods to characterize plant diseases (even at early stages of infection) may be of interest for preventing yield losses due to different plant pathogens.
Ajuts: Agencia Estatal de Investigación RTI2018-097107-B-C31
Agència de Gestió d'Ajuts Universitaris i de Recerca 2017/SGR-001500
Drets: Aquest document està subjecte a una llicència d'ús Creative Commons. Es permet la reproducció total o parcial, la distribució, la comunicació pública de l'obra i la creació d'obres derivades, fins i tot amb finalitats comercials, sempre i quan es reconegui l'autoria de l'obra original. Creative Commons
Llengua: Anglès
Document: Article ; recerca ; Versió publicada
Matèria: Biophysics ; Plant sciences ; Optics and photonics ; Physics
Publicat a: Scientific reports, Vol. 12 (August 2022) , art. 14743, ISSN 2045-2322

DOI: 10.1038/s41598-022-19088-6
PMID: 36042370


16 p, 3.6 MB

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 Registre creat el 2022-09-23, darrera modificació el 2023-05-09



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