Early Detection and Identification of Rice Blast Based on Hyperspectral Image

KANG Li; YUAN Jian-qing; GAO Rui; KONG Qing-ming; JIA Yin-jiang; SU Zhong-bin

doi:10.3964/j.issn.1000-0593(2021)03-0898-05

Journals >Spectroscopy and Spectral Analysis >Volume 41 >Issue 3 >Page 898 > Article

Spectroscopy and Spectral Analysis
Vol. 41, Issue 3, 898 (2021)

Early Detection and Identification of Rice Blast Based on Hyperspectral Image

KANG Li^1、2, YUAN Jian-qing³, GAO Rui¹, KONG Qing-ming¹, JIA Yin-jiang¹, and SU Zhong-bin¹

Author Affiliations

¹[in Chinese]

²[in Chinese]

³[in Chinese]

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DOI: 10.3964/j.issn.1000-0593(2021)03-0898-05 Cite this Article

KANG Li, YUAN Jian-qing, GAO Rui, KONG Qing-ming, JIA Yin-jiang, SU Zhong-bin. Early Detection and Identification of Rice Blast Based on Hyperspectral Image[J]. Spectroscopy and Spectral Analysis, 2021, 41(3): 898 Copy Citation Text

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References

[1] De Morsier F, Borgeaud M, Gass V, et al. IEEE Transactions on Geoscience & Remote Sensing, 2016, 54(6): 3410.

[2] Nijat Kasim, Shi Qingdong, Wang Jingzhe, et al. Transactions of the Chinese Society of Agricultural Engineering, 2017, 33(22): 208.

[3] Wang J, Wu W, Wang T, et al. Spectroscopy Letters, 2018, 51(9): 485.

[4] Wang Y, Jiang F, Gupta B B, et al. IEEE Access, 2018, 6: 5290.

[6] Lu J, Zhou M, Gao Y, et al. Precision Agriculture, 2018, 19(3): 379.

[7] Ashourloo D, Aghighi H, Matkan A A, et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2016, 9(9): 4344.

[11] Kobayashi T, Sasahara M, Kanda E, et al. Open Ggriculture Journal, 2016, 10(1): 28.

CLP Journals

[1] LI Bin, SU Cheng-tao, YIN Hai, LIU Yan-de. Hyperspectral Imaging Technology Combined With Machine Learning for Detection of Moldy Rice[J]. Spectroscopy and Spectral Analysis, 2023, 43(8): 2391

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