Spectroscopy and Spectral Analysis, Volume. 41, Issue 8, 2543(2021)
Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction
References(8)
[1] E Juan N, C Micaela, I Paula G. BMC Plant Biol., 21, 30(2021).
[2] J Kapusta-Duch, J Sikora, A Szelᶏg-Sikora et al. Sustainability, 11, 4008(2019).
[3] J Abbey, L Abbey, D Percival et al. Biocontrol Science and Technology, 29, 207(2019).
[6] P Baranowski, A Siedliska, M Zubik et al. Postharvest Biology and Technology, 139, 115(2018).
[7] B Li, Y Shen, P Zhang D. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 243, 118820(2020).
[8] M He X, F Shen, X Zhao T et al. Biosystems Engineering, 201, 1(2021).
[10] P Liu, F Shen, F Wu Q et al. Food Control, 93, 1(2018).
[11] Z Gu X, Y Sun, J Wang Z et al. PLOS ONE, 10, e0143400(2015).
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Bing-yu MU, Shu-juan ZHANG, Ze-zhen LI, Kai WANG, Zi-hui LI, Jian-xin XUE. Early Detection of Cauliflower Gray Mold Based on Near-Infrared Spectrum Feature Extraction[J]. Spectroscopy and Spectral Analysis, 2021, 41(8): 2543
Paper Information
Category: Research Articles
Received: Mar. 25, 2021
Accepted: --
Published Online: Sep. 8, 2021
The Author Email: MU Bing-yu (13633544838@163.com)
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