IDENTIFICATION OF BARLEY PHYTOPATHOLOGIES BASED ON SPECTRAL SIGNATURES OBTAINED VIA HYPERSPECTRAL IMAGING

Authors

DOI:

https://doi.org/10.26577/bb107220267
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Keywords:

hyperspectral imaging, barley, phytopathology, plant diseases, spectra

Abstract

This article investigates the hyperspectral characteristics of barley. A major challenge in agriculture is the inability to perform early disease diagnosis. Hyperspectral imaging enables the identification of diseases at an early stage, preventing their further spread. Spectral analysis of barley diseases (loose smut, leaf spot, root rot) shows that infected and dried tissues have low reflectance, early-stage infections exhibit medium reflectance, and healthy tissues display high spectral intensity. In hyperspectral images, diseased plant areas appear blue, areas with living but already infected tissue appear yellow, and healthy plant areas are shown in orange, red, and burgundy. Spectra from healthy areas possess high intensity compared to those from diseased zones. This is attributed to the presence of chlorophyll, the green pigment in healthy tissue that actively reflects light. The destruction of the epidermis, loss of moisture, tissue necrosis, and darkening lead to a decrease in reflected light intensity.

Author Biographies

R.M. Ualiyeva, Toraighyrov University, Pavlodar, Kazakhstan

Ualiyeva Rimma Meyramovna (corresponding author) – PhD, Professor of the Department of Biology and Ecology, Toraighyrov University (Pavlodar, Kazakhstan, email: ualiyeva.r@gmail.com)

A.V. Osipova, Toraighyrov University, Pavlodar, Kazakhstan

Osipova Anastasiya Vyacheslavovna – Master's degree student, Department of Biology and Ecology, Toraighyrov University (Pavlodar, Kazakhstan, email: aanastasiyaaa@internet.ru)

N.A. Diyanchuk, Toraighyrov University, Pavlodar, Kazakhstan

Diyanchuk Nikita Aleksandrovich – Bachelor's degree student, Department of Biology and Ecology, Toraighyrov University (Pavlodar, Kazakhstan, email: nik.diyanchuk@gmail.com)

M.M. Kaverina, Toraighyrov University, Pavlodar, Kazakhstan

Kaverina Mariya Mikhailovna – Master of Natural Sciences, Junior Researcher at the Department of Biology and Ecology, Toraighyrov University (Pavlodar, Kazakhstan, email: k.ma96@mail.ru)

S.B. Zhangazin, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

Zhangazin Sayan Berikovich – PhD, Associate Professor, Acting Deputy Director for Research at the Institute of Natural Sciences, L.N. Gumilyov Eurasian National University (Astana, Kazakhstan, email: sayanzhangazin@gmail.com)

A.U. Tuyakbayeva, L.N. Gumilyov Eurasian National University, Astana, Kazakhstan

Tuyakbayeva Akmaral Userkhanovna - Candidate of Biological Sciences, Associate Professor of the Department of Biotechnology and Microbiology, L.N. Gumilyov Eurasian National University (Astana, Kazakhstan, email: akmaral.t@inbox.ru)

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How to Cite

Ualiyeva, R. ., Osipova, A. ., Diyanchuk, N. ., Kaverina, M. ., Zhangazin, S. ., & Tuyakbayeva, A. . (2026). IDENTIFICATION OF BARLEY PHYTOPATHOLOGIES BASED ON SPECTRAL SIGNATURES OBTAINED VIA HYPERSPECTRAL IMAGING. Experimental Biology, 107(2), 54–80. https://doi.org/10.26577/bb107220267