Study on Damage Degree Discrimination of Yellow Peach Based on Hyperspectral Map Fusion Technology

LI Bin; ZHANG Feng; YIN Hai; ZOU Ji-ping; OUYANG Ai-guo

doi:10.3964/j.issn.1000-0593(2023)02-0435-07

Spectroscopy and Spectral Analysis, Volume. 43, Issue 2, 435(2023)

Study on Damage Degree Discrimination of Yellow Peach Based on Hyperspectral Map Fusion Technology

LI Bin, ZHANG Feng, YIN Hai, ZOU Ji-ping, and OUYANG Ai-guo

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[in Chinese]

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References(9)

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[2] [2] Tan W, Sun L, Yang F, et al. Journal of Chemometrics, 2018, 32(10): e3067.

[3] [3] ElMasry G M, Nakauchi S. Biosystems Engineering, 2016, 142: 53.

[4] [4] Mahesh S, Jayas D S, Paliwal J, et al. Journal of Stored Products Research, 2015, 61: 17.

[5] [5] Wang N N, Sun D W, Yang Y C, et al. Food Analytical Methods, 2016, 9(1): 178.

[6] [6] Tan W, Sun L, Yang F, et al. Optik, 2018, 154: 581.

[8] [8] Zhu X, Li G. International Journal of Food Properties, 2019, 22(1): 1709.

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[14] [14] Yin S, Bi X, Niu Y, et al. Emirates Journal of Food and Agriculture, 2017, 29(8): 601.

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LI Bin, ZHANG Feng, YIN Hai, ZOU Ji-ping, OUYANG Ai-guo. Study on Damage Degree Discrimination of Yellow Peach Based on Hyperspectral Map Fusion Technology[J]. Spectroscopy and Spectral Analysis, 2023, 43(2): 435

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Paper Information

Received: Nov. 17, 2021

Accepted: --

Published Online: Mar. 28, 2023

The Author Email:

DOI:10.3964/j.issn.1000-0593(2023)02-0435-07

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology