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Remote Sensing
Volume 12
Issue 24
10.3390/rs12244151
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Article

Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging

by
Nele Bendel
1,2,
Andreas Backhaus
3,
Anna Kicherer
1,*,
Janine Köckerling
1,4,
Michael Maixner
4,
Barbara Jarausch
4,
Sandra Biancu
4,
Hans-Christian Klück
3,
Udo Seiffert
3,
Ralf T. Voegele
2 and
Reinhard Töpfer
1
1
Institute for Grapevine Breeding Geilweilerhof, Federal Research Centre for Cultivated Plants, Julius Kühn-Institut, 76833 Siebeldingen, Germany
2
Institute of Phytomedicine, University of Hohenheim, Otto-Sander-Str. 5, 70599 Stuttgart, Germany
3
Fraunhofer Institute for Factory Operation and Automation (IFF), Biosystems Engineering, Sandtorstr. 22, 39106 Magdeburg, Germany
4
Julius Kühn-Institut, Federal Research Centre for Cultivated Plants, Institute for Plant Protection in Fruit Crops and Viticulture, Geilweilerhof, 76833 Siebeldingen, Germany
*
Author to whom correspondence should be addressed.
Remote Sens. 2020, 12(24), 4151; https://doi.org/10.3390/rs12244151
Submission received: 25 November 2020 / Revised: 14 December 2020 / Accepted: 17 December 2020 / Published: 18 December 2020
(This article belongs to the Special Issue Plant Phenotyping for Disease Detection)
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Abstract

Grapevine yellows (GY) are serious phytoplasma-caused diseases affecting viticultural areas worldwide. At present, two principal agents of GY are known to infest grapevines in Germany: Bois noir (BN) and Palatinate grapevine yellows (PGY). Disease management is mostly based on prophylactic measures as there are no curative in-field treatments available. In this context, sensor-based disease detection could be a useful tool for winegrowers. Therefore, hyperspectral imaging (400–2500 nm) was applied to identify phytoplasma-infected greenhouse plants and shoots collected in the field. Disease detection models (Radial-Basis Function Network) have successfully been developed for greenhouse plants of two white grapevine varieties infected with BN and PGY. Differentiation of symptomatic and healthy plants was possible reaching satisfying classification accuracies of up to 96%. However, identification of BN-infected but symptomless vines was difficult and needs further investigation. Regarding shoots collected in the field from different red and white varieties, correct classifications of up to 100% could be reached using a Multi-Layer Perceptron Network for analysis. Thus, hyperspectral imaging seems to be a promising approach for the detection of different GY. Moreover, the 10 most important wavelengths were identified for each disease detection approach, many of which could be found between 400 and 700 nm and in the short-wave infrared region (1585, 2135, and 2300 nm). These wavelengths could be used further to develop multispectral systems.
Keywords: disease detection; plant phenotyping; spectral imaging; viticulture; phytoplasma; Bois noir; Palatinate grapevine yellows disease detection; plant phenotyping; spectral imaging; viticulture; phytoplasma; Bois noir; Palatinate grapevine yellows
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MDPI and ACS Style

Bendel, N.; Backhaus, A.; Kicherer, A.; Köckerling, J.; Maixner, M.; Jarausch, B.; Biancu, S.; Klück, H.-C.; Seiffert, U.; Voegele, R.T.; et al. Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging. Remote Sens. 2020, 12, 4151. https://doi.org/10.3390/rs12244151

AMA Style

Bendel N, Backhaus A, Kicherer A, Köckerling J, Maixner M, Jarausch B, Biancu S, Klück H-C, Seiffert U, Voegele RT, et al. Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging. Remote Sensing. 2020; 12(24):4151. https://doi.org/10.3390/rs12244151

Chicago/Turabian Style

Bendel, Nele, Andreas Backhaus, Anna Kicherer, Janine Köckerling, Michael Maixner, Barbara Jarausch, Sandra Biancu, Hans-Christian Klück, Udo Seiffert, Ralf T. Voegele, and et al. 2020. "Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging" Remote Sensing 12, no. 24: 4151. https://doi.org/10.3390/rs12244151

APA Style

Bendel, N., Backhaus, A., Kicherer, A., Köckerling, J., Maixner, M., Jarausch, B., Biancu, S., Klück, H.-C., Seiffert, U., Voegele, R. T., & Töpfer, R. (2020). Detection of Two Different Grapevine Yellows in Vitis vinifera Using Hyperspectral Imaging. Remote Sensing, 12(24), 4151. https://doi.org/10.3390/rs12244151

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