Abstract
Flavescence Dorée (FD) is a contagious and incurable grapevine disease that can be perceived on leaves. In order to contain its spread, the regulations obligate winegrowers to control each plant and to remove the suspected ones. Nevertheless, this monitoring is performed during the harvest and mobilizes many people during a strategic period for viticulture. To solve this problem, we aim to develop a Multi-Spectral (MS) imaging device ensuring an automated grapevine disease detection solution. If embedded on a UAV, the tool can provide disease outbreaks locations in a geographical information system allowing localized and direct treatment of infected vines. The high-resolution MS camera aims to allow the identification of potential FD occurrence, but the procedure can, more generally, be used to detect any type of foliar diseases on any type of vegetation.
Our work consists on defining the spectral bands of the multispectral camera, responsible for identifying the desired symptoms of the disease. In fact, the FD diseased samples were selected after establishing a Polymerase Chain Reaction (PCR) confirmation test and then a feature selection technique was applied to identify the best subset of wavelengths capable of detecting FD samples. An example of a preliminary version of the MS sensor was also presented along with the geometric and radiometric required corrections. An image analysis based on texture and neural networks was also detailed for an enhanced disease classification.
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Acknowledgments
We thank all the vine-growers who participated in this study that is part of the DAMAV project. We also would like to thank Alice Dubois and Sylvain Bernard from the Regional Federation of Defense against Pests of Provence Alpes Côtes Azur, Corinne Trarieux from the Interprofessional Office of Burgundy Wine, Jocelyn Dureuil from the Chamber of Agriculture 71, and finally Arnaud Delaherche from Château Pape Clément Bordeaux for their excellent technical assistance.
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Al-Saddik, H., Laybros, A., Simon, J.C., Cointault, F. (2019). Protocol for the Definition of a Multi-Spectral Sensor for Specific Foliar Disease Detection: Case of “Flavescence Dorée”. In: Musetti, R., Pagliari, L. (eds) Phytoplasmas. Methods in Molecular Biology, vol 1875. Humana Press, New York, NY. https://doi.org/10.1007/978-1-4939-8837-2_17
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DOI: https://doi.org/10.1007/978-1-4939-8837-2_17
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