Segmentation and Detection of Cucumber Powdery Mildew by Comparison of Near-Infrared and Fluorescence Spectra

XU Ji-tong; JIN Hai-rong; TONG Wen-yu; ZHANG Zhe; GUO Yu-hang; TIAN Su-bo; NING Xiao-feng

doi:10.3964/j.issn.1000-0593(2023)06-1731-08

Journals >Spectroscopy and Spectral Analysis >Volume 43 >Issue 6 >Page 1731 > Article

Spectroscopy and Spectral Analysis
Vol. 43, Issue 6, 1731 (2023)

Segmentation and Detection of Cucumber Powdery Mildew by Comparison of Near-Infrared and Fluorescence Spectra

XU Ji-tong¹, JIN Hai-rong¹, TONG Wen-yu¹, ZHANG Zhe¹, GUO Yu-hang¹, TIAN Su-bo², and NING Xiao-feng²

Author Affiliations

¹[in Chinese]

²[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2023)06-1731-08 Cite this Article

XU Ji-tong, JIN Hai-rong, TONG Wen-yu, ZHANG Zhe, GUO Yu-hang, TIAN Su-bo, NING Xiao-feng. Segmentation and Detection of Cucumber Powdery Mildew by Comparison of Near-Infrared and Fluorescence Spectra[J]. Spectroscopy and Spectral Analysis, 2023, 43(6): 1731 Copy Citation Text

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References

[1] Rur M, Rmert B, Hkeberg M, et al. European Journal of Plant Pathology, 2018, 150(1): 127.

[4] Ma J, Du K, Zhang L, et al. Computers & Electronics in Agriculture, 2017, 142(142): 110.

[9] Li H N, Feng J, Yang W P, et al. Spectrum-Based Method for Quantitatively Detecting Diseases on Cucumber Leaf．4th International Congress on Image and Signal Processing. IEEE, 2011, 4: 1971.

[10] Smis A, Murguzur F J A, Struyf E, et al. Frontiers in Plant Science, 2014, 5(5): 496.

[15] Rühle Thilo, Reiter Bennet, Leister Dario. Frontiers in Plant Science, 2018, 9: 55.

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