PERTANIKA JOURNAL OF TROPICAL AGRICULTURAL SCIENCE

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• Fernández, C. I., Leblon, B., Wang, J., Haddadi, A., & Wang, K. (2022). Cucumber powdery mildew detection using hyperspectral data. Canadian Journal of Plant Science, 102(1), 20–32. https://doi.org/10.1139/cjps-2021-0148

• Fletcher, R. S., & Turley, R. B. (2018). Comparing Canopy Hyperspectral Reflectance Properties of <i>Palmer amaranth</i> to Okra and Super-Okra Leaf Cotton. American Journal of Plant Sciences, 09(13), 2708–2718. https://doi.org/10.4236/ajps.2018.913197

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• Mishra, P., Lohumi, S., Ahmad Khan, H., & Nordon, A. (2020). Close-range hyperspectral imaging of whole plants for digital phenotyping: Recent applications and illumination correction approaches. Computers and Electronics in Agriculture, 178, Article 105780. https://doi.org/10.1016/j.compag.2020.105780

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• Ortaç, G., Bilgi, A. S., Taşdemir, K., & Kalkan, H. (2016). A hyperspectral imaging based control system for quality assessment of dried figs. Computers and Electronics in Agriculture, 130, 38-47. https://doi.org/10.1016/j.compag.2016.10.001

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• Ren, G., Wang, Y., Ning, J., & Zhang, Z. (2020). Using near-infrared hyperspectral imaging with multiple decision tree methods to delineate black tea quality. Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, 237, 118407. https://doi.org/10.1016/j.saa.2020.118407

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• Shaikh, M. S., Jaferzadeh, K., Thörnberg, B., & Casselgren, J. (2021). Calibration of a hyper-spectral imaging system using a low-cost reference. Sensors, 21(11), Article 3738. https://doi.org/10.3390/s21113738

• Vigneau, N., Ecarnot, M., Rabatel, G., & Roumet, P. (2011). Potential of field hyperspectral imaging as a non destructive method to assess leaf nitrogen content in Wheat. Field Crops Research, 122(1), 25–31. https://doi.org/10.1016/j.fcr.2011.02.003

• Vu, H., Tachtatzis, C., Murray, P., Harle, D., Dao, T. K., Le, T. L., Andonovic, I., & Marshall, S. (n.d.). Rice Seed Varietal Purity Inspection using Hyperspectral Imaging.

• Witteveen, M., Sterenborg, H. J. C. M., van Leeuwen, T. G., Aalders, M. C. G., Ruers, T. J. M., & Post, A. L. (2022). Comparison of preprocessing techniques to reduce nontissue-related variations in hyperspectral reflectance imaging. Journal of Biomedical Optics, 27(10). https://doi.org/10.1117/1.JBO.27.10.106003

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• Zhuang, L., & Ng, M. K. (2020). Hyperspectral mixed noise removal by ℓ1-norm-based subspace representation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 13, 1143-1157. https://doi.org/10.1109/JSTARS.2020.2979801