Potential detection of Flavescence dorée in the vineyard using close-range hyperspectral imaging-Reference-Cited by-同舟云学术

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Potential detection of Flavescence dorée in the vineyard using close-range hyperspectral imaging

Published:2023-07-19 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Electrical, Computer, Communications and Mechatronics Engineering (ICECCME)
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Author:

Barjaktarovic Marko¹,Santoni Massimo²,Faralli Michele³,Bertamini Massimo³,Bruzzone Lorenzo²

Affiliation:

1. University of Belgrade, Serbia Remote Sensing Laboratory, University of Trento,School of Electrical Engineering,Italy

2. University of Trento,Remote Sensing Laboratory,Department of Information Engineering and Computer Science,Italy

3. University of Trento, Italy Research and Innovation Centre, Fondazione Edmund Mach,Center Agriculture Food Environment (C3A),Italy

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10252163/10252090/10252351.pdf?arnumber=10252351

Reference26 articles.

1. Protocol for the Definition of a Multi-Spectral Sensor for Specific Foliar Disease Detection: Case of “Flavescence Dorée”

2. Multispectral band selection for imaging sensor design for vineyard disease detection: case of Flavescence Dorée

3. On the Potentiality of UAV Multispectral Imagery to Detect Flavescence dorée and Grapevine Trunk Diseases

4. Close-range hyperspectral image analysis for the early detection of stress responses in individual plants in a high-throughput phenotyping platform

5. Development of Spectral Disease Indices for ‘Flavescence Dorée’ Grapevine Disease Identification;hania;Sensor,2017

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