Early Detection Method of Mechanical Damage of Yuluxiang Pear Based on SERS and Deep Learning

XU De-fang; GUAN Hong-pu; ZHAO Hua-min; ZHANG Shu-juan; ZHAO Yan-ru

doi:10.3964/j.issn.1000-0593(2025)06-1712-07

Spectroscopy and Spectral Analysis, Volume. 45, Issue 6, 1712(2025)

Early Detection Method of Mechanical Damage of Yuluxiang Pear Based on SERS and Deep Learning

XU De-fang¹, GUAN Hong-pu², ZHAO Hua-min³, ZHANG Shu-juan³, and ZHAO Yan-ru^2、*

Author Affiliations

¹Department of Mathematics and Artificial Intelligence, Lyuliang University, Lvliang　033001, China

²College of Mechanical and Electronic Engineering, Northwest A&F University, Yangling　712100, China

³College of Agricultural Engineering, Shanxi Agricultural University, Taigu　030801, China

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XU De-fang, GUAN Hong-pu, ZHAO Hua-min, ZHANG Shu-juan, ZHAO Yan-ru. Early Detection Method of Mechanical Damage of Yuluxiang Pear Based on SERS and Deep Learning[J]. Spectroscopy and Spectral Analysis, 2025, 45(6): 1712

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Paper Information

Received: Jun. 24, 2024

Accepted: Jun. 27, 2025

Published Online: Jun. 27, 2025

The Author Email: ZHAO Yan-ru (yrzhao@nwafu.edu.cn)

DOI:10.3964/j.issn.1000-0593(2025)06-1712-07

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