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19 Mandrapa, B.; Spohrer, K.; Wuttke, D.; Ruttensperger, U.; Dieckhoff, C.; Müller, J. Machine learning-based hyperspectral wavelength selection and classification of spider mite-infested cucumber leaves. Exp. Appl. Acarol. 2024, 93, 627–644. https://doi.org/10.1007/s10493-024-00953-0

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22 Wójtowicz, A.; Piekarczyk, J.; Wójtowicz, M.; Królewicz, S.; Świerczyńska, I.; Pieczul, K.; Jakubowska, M.; Ceglarek, J. Machine learning-based detection and quantification of Septoria leaf blotch in winter wheat from hyperspectral and UAV multispectral data. Remote Sens. 2026, 18, 2800. https://doi.org/10.3390/rs18162800

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26 Ualiyeva, R.M.; Kaverina, M.M.; Osipova, A.V.; Iksat, N.N.; Zhangazin, S.B. Weed species identification using hyperspectral imaging and machine learning. Plants 2026, 15, 916. https://doi.org/10.3390/plants15060916

27 Ualiyeva, R.M.; Kaverina, M.M.; Osipova, A.V.; Faurat, A.A.; Zhangazin, S.B.; Iksat, N.N. Hyperspectral imaging and machine learning for automated pest identification in cereal crops. Biology 2025, 14, 1715. https://doi.org/10.3390/biology14121715