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This is an early access version, the complete PDF, HTML, and XML versions will be available soon.
Article

Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach

by
Anastasia Povolotckaia
1,2,*,
Dmitrii Pankin
2,
Mikhail Gareev
3,
Dmitrii Serebrjakov
3,
Anatoliy Gulyaev
1,
Evgenii Borisov
2,
Andrey Boyko
4,
Sergey Borzenko
1,
Sergey Belousov
5,
Oleg Noy
6 and
Maxim Moskovskiy
1
1
Federal Scientific Agroengineering Center VIM, 109428 Moscow, Russia
2
Center for Optical and Laser Materials Research, St. Petersburg State University, 198504 St. Petersburg, Russia
3
Polytechnic Institute, Yaroslav-the-Wise Novgorod State University, 173000 Veliky Novgorod, Russia
4
Don State Technical University, 346780 Rostov-on-Don, Russia
5
Department of Processes and Machines in Agribusiness, Kuban State Agrarian University Named After I.T. Trubilin, 350044 Krasnodar, Russia
6
L.L.C. ООО “Agroglobal Telecom”, 344012 Rostov-on-Don, Russia
*
Author to whom correspondence should be addressed.
Molecules 2025, 30(12), 2586; https://doi.org/10.3390/molecules30122586
Submission received: 22 April 2025 / Revised: 26 May 2025 / Accepted: 30 May 2025 / Published: 13 June 2025
(This article belongs to the Section Food Chemistry)
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Abstract

Wheat is an important agricultural crop grown under various conditions on five continents. The ability to promptly detect and defeat fungal diseases has a significant impact on the volume of the obtained harvest. One of the most significant threats to human and domestic animal health is metabolites produced by Fusarium genus fungi. In this regard, this work is devoted to the possibility of the rapid differentiation between healthy grains and grains simultaneously infected with several species of Fusarium genus fungi (Fusarium graminearum Schwabe FG-30, Fusarium poae Kr-20-14, Fusarium roseum (sambucinum) St-20-3) for practical reasons. An approach based on obtaining hyperspectral data with their subsequent processing using the principal component analysis (PCA) method and determining statistically important spectral regions sensitive for grain infection at different stages (5 and 40 days) was proposed. The effects of the grain orientation and data dimensionality on the classification result were studied. For further practical application in devices for the rapid identification of wheat grains infected with Fusarium, a method based on the use of reflection at wavelengths of 400, 451, 708, 783, 801, and 863 nm, together with normalization [0, 1] and the subsequent projection of spectral data onto the first three principal components (PCs), was proposed, regardless of the grain orientation.
Keywords: wheat; Fusarium; hyperspectral imaging; reflectance; feature wavelength wheat; Fusarium; hyperspectral imaging; reflectance; feature wavelength
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MDPI and ACS Style

Povolotckaia, A.; Pankin, D.; Gareev, M.; Serebrjakov, D.; Gulyaev, A.; Borisov, E.; Boyko, A.; Borzenko, S.; Belousov, S.; Noy, O.; et al. Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach. Molecules 2025, 30, 2586. https://doi.org/10.3390/molecules30122586

AMA Style

Povolotckaia A, Pankin D, Gareev M, Serebrjakov D, Gulyaev A, Borisov E, Boyko A, Borzenko S, Belousov S, Noy O, et al. Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach. Molecules. 2025; 30(12):2586. https://doi.org/10.3390/molecules30122586

Chicago/Turabian Style

Povolotckaia, Anastasia, Dmitrii Pankin, Mikhail Gareev, Dmitrii Serebrjakov, Anatoliy Gulyaev, Evgenii Borisov, Andrey Boyko, Sergey Borzenko, Sergey Belousov, Oleg Noy, and et al. 2025. "Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach" Molecules 30, no. 12: 2586. https://doi.org/10.3390/molecules30122586

APA Style

Povolotckaia, A., Pankin, D., Gareev, M., Serebrjakov, D., Gulyaev, A., Borisov, E., Boyko, A., Borzenko, S., Belousov, S., Noy, O., & Moskovskiy, M. (2025). Hyperspectral Imaging Study of Wheat Grains Infected with Several Fusarium Fungal Species and Their Identification with PCA-Based Approach. Molecules, 30(12), 2586. https://doi.org/10.3390/molecules30122586

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