Applications of Polarization Spectroscopy in Agricultural Engineering: A Comprehensive Review

Non-destructive testing (NDT) methods are increasingly applied in modern agriculture to enable the rapid, efficient, and non-invasive evaluation of crops and agricultural products. Among these, polarization spectroscopy analysis (PSA) combines polarization information with spectral data to provide detailed insights into plant and soil properties. This review summarizes the principles and key parameters of polarimetry and highlights PSA applications, including crop health monitoring, pest and disease detection, chlorophyll and nutrient estimation, seed quality assessment, and soil moisture and pollution evaluation. PSA demonstrates advantages over conventional spectroscopy by revealing structural information and maintaining robustness in complex environments. Its ability to support precision agriculture through the real-time monitoring and early detection of stress factors underscores its potential for smart agricultural systems. Future efforts should focus on data fusion, model optimization, equipment miniaturization, and enhanced adaptability to fully realize PSA’s role in intelligent agriculture.

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Publication Details

Journal
Agriculture
Published
2025-12-09
DOI
https://doi.org/10.3390/agriculture15242546
Primary Topic
Spectroscopy and Chemometric Analyses
Type
article
Field-Weighted Citation Impact
0.00

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article

Applications of Polarization Spectroscopy in Agricultural Engineering: A Comprehensive Review

Yang Li, Huan Wang, Liangliang Zhai, Wenhao Du et al.
Agriculture
Spectroscopy and Chemometric Analyses
article

Applications of Polarization Spectroscopy in Agricultural Engineering: A Comprehensive Review

Yang Li, Huan Wang, Liangliang Zhai, Wenhao Du, Li Xiao, Wenjing Zhu, Zhiqiao Gao
article en

Abstract

Non-destructive testing (NDT) methods are increasingly applied in modern agriculture to enable the rapid, efficient, and non-invasive evaluation of crops and agricultural products. Among these, polarization spectroscopy analysis (PSA) combines polarization information with spectral data to provide detailed insights into plant and soil properties. This review summarizes the principles and key parameters of polarimetry and highlights PSA applications, including crop health monitoring, pest and disease detection, chlorophyll and nutrient estimation, seed quality assessment, and soil moisture and pollution evaluation. PSA demonstrates advantages over conventional spectroscopy by revealing structural information and maintaining robustness in complex environments. Its ability to support precision agriculture through the real-time monitoring and early detection of stress factors underscores its potential for smart agricultural systems. Future efforts should focus on data fusion, model optimization, equipment miniaturization, and enhanced adaptability to fully realize PSA’s role in intelligent agriculture.

AgricultureVol. 15(24)
Jiangsu University (CN), Weichai Power (China) (CN), Ministry of Industry and Information Technology (CN)
National Natural Science Foundation of China
Openalex Percentile: Top 58%
Spectroscopy and Chemometric Analyses
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