Early Classification and Detection of Melon Graft Healing State Based on Hyperspectral Imaging

Jie-kai YANG; Zhi-qiang GUO; Yuan HUANG; Hong-sheng GAO; Ke JIN; Xiang-shuai WU; Jie YANG

doi:10.3964/j.issn.1000-0593(2022)07-2218-07

Spectroscopy and Spectral Analysis, Volume. 42, Issue 7, 2218(2022)

Early Classification and Detection of Melon Graft Healing State Based on Hyperspectral Imaging

Jie-kai YANG^1、1;, Zhi-qiang GUO^1、1;, Yuan HUANG^{2、2; 3; *;}, Hong-sheng GAO^1、1;, Ke JIN^1、1;, Xiang-shuai WU^2、2;, and Jie YANG^1、*

Author Affiliations

¹1. College of Information Engineering, Hubei Key Laboratory of Broadband Wireless Communication and Sensor Network, Wuhan University of Technology, Wuhan 430070, China

²2. College of Horticulture and Forestry Sciences, Key Laboratory of Horticultural Plant Biology, Ministry of Education, Huazhong Agricultural University, Wuhan 430070, China

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References(2)

[1] Jiang Kai, Li Cuiling, Wang Jinwu[D]. International Agricultural Engineering Journal, 65(2018).

[2] Chen Liping, Feng Qingchun, Jiang Kai et al[D]. International Agricultural Engineering Journal, 29, 250(2020).

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Jie-kai YANG, Zhi-qiang GUO, Yuan HUANG, Hong-sheng GAO, Ke JIN, Xiang-shuai WU, Jie YANG. Early Classification and Detection of Melon Graft Healing State Based on Hyperspectral Imaging[J]. Spectroscopy and Spectral Analysis, 2022, 42(7): 2218

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Paper Information

Category: Orginal Article

Received: Jul. 2, 2021

Accepted: --

Published Online: Nov. 16, 2022

The Author Email: Jie YANG (1284901668@qq.com)

DOI:10.3964/j.issn.1000-0593(2022)07-2218-07

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