Detection of Moisture Content in Strawberry Leaves Using Hyperspectraland Broad Learning System

LI Ze-qi; YANG Zheng; ZHOU Zhuang-fei; PENG Ji-yu; ZHU Feng-le; HE Qing-hai

doi:10.3964/j.issn.1000-0593(2025)06-1534-09

Spectroscopy and Spectral Analysis, Volume. 45, Issue 6, 1534(2025)

Detection of Moisture Content in Strawberry Leaves Using Hyperspectraland Broad Learning System

LI Ze-qi¹, YANG Zheng¹, ZHOU Zhuang-fei¹, PENG Ji-yu¹, ZHU Feng-le^1、*, and HE Qing-hai²

Author Affiliations

¹College of Mechanical Engineering, Zhejiang University of Technology, Hangzhou　310023，China

²Shandong Academy of Agricultural Machinery Science, Jinan　250100, China

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LI Ze-qi, YANG Zheng, ZHOU Zhuang-fei, PENG Ji-yu, ZHU Feng-le, HE Qing-hai. Detection of Moisture Content in Strawberry Leaves Using Hyperspectraland Broad Learning System[J]. Spectroscopy and Spectral Analysis, 2025, 45(6): 1534

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Paper Information

Received: Jul. 23, 2024

Accepted: Jun. 27, 2025

Published Online: Jun. 27, 2025

The Author Email: ZHU Feng-le (zhufl@zjut.edu.cn)

DOI:10.3964/j.issn.1000-0593(2025)06-1534-09

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology