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

Published online by Cambridge University Press:  01 June 2017

H. Al-Saddik ,
J.C. Simon ,
O. Brousse  and
F. Cointault
H. Al-Saddik*
Affiliation:
Agrosup Dijon, Joint Research Unit 1347 Agroecology, 26 Bd Dr Petitjean, 21000 Dijon, France
J.C. Simon
Affiliation:
Agrosup Dijon, Joint Research Unit 1347 Agroecology, 26 Bd Dr Petitjean, 21000 Dijon, France
O. Brousse
Affiliation:
GST (Global Sensing Technologies), Dijon, France
F. Cointault
Affiliation:
Agrosup Dijon, Joint Research Unit 1347 Agroecology, 26 Bd Dr Petitjean, 21000 Dijon, France
*
†E-mail: hania.al-saddik@agrosupdijon.fr
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Abstract

Disease detection and control is thus one of the main objectives of vineyard research in France. Monitoring diseases manually is fastidious and time consuming, so current research aims to develop an automatic detection of vineyard diseases. This project explored the use of a high-resolution multi-spectral camera embedded on a UAV (Unmanned Aerial Vehicle) to identify the infected zones in a field. In-field spectrometry studies were performed to identify the best spectral bands for the sensor design. The best models were found to be the function of the grapevine variety considered and the 520-600-650-690-730-750-800 nm bands were found to be the most efficient for all types of grapevines, with an overall classification accuracy of more than 94%.

Keywords

Spectral analysisband selectionvineyarddiseasesimagery
Type
Crop Sensors and Sensing
Information
Advances in Animal Biosciences , Volume 8 , Special Issue 2: Papers presented at the 11th European Conference on Precision Agriculture (ECPA 2017), John McIntyre Centre, Edinburgh, UK, July 16–20 2017 , July 2017 , pp. 150 - 155
Copyright
© The Animal Consortium 2017 

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