Applications of Polarization Spectroscopy in Agricultural Engineering: A Comprehensive Review

Abstract

Non-destructive testing (NDT) methods are playing a crucial role in modern agriculture by providing efficient, rapid, and non-invasive means of evaluating agricultural materials. This shift from traditional, often destructive, testing methods is driven by the need for better quality control, improved food safety, and the demands of intelligent and precise agriculture Polarization spectroscopy analysis (PSA) has emerged as an advanced, non-destructive testing method of growing importance in agricultural engineering. By integrating polarization characteristics with spectral data, PSA enables the detailed analysis of various agricultural products and processes.This review provides a systematic overview of the principles and key parameters of polarimetry. Furthermore, it highlights a wide range of PSA applications in agricultural materials, such as crop health assessment, pest detection, chlorophyll estimation, and the evaluation of water, nitrogen, phosphorus, and potassium content. In addition, it sheds light on further applications, including non-destructive testing of seed health and agricultural product quality, soil moisture and pollution monitoring, underwater and nighttime environmental imaging, and integration with hyperspectral and multispectral technologies.Polarization spectroscopy is an analytical technology capable of revealing physical structural information unresolved by traditional spectroscopy, especially in complex environments where it demonstrates greater resistance to interference. With its ability to monitor plant nutrition, predict seed germination, assess fruit and vegetable quality, and detect early pests and diseases, this technology holds great promise for precision agriculture. Future efforts should optimize data fusion, build efficient models, miniaturize intelligent equipment, and enhance the real-time performance and adaptability of non-destructive testing to support smart agriculture..

Plant phenotyping relevance

偏光分光法を農業材料へ適用するレビューであり、作物健全性、クロロフィル、栄養、発芽、病害虫など植物形質・状態の非破壊推定を主要な応用として扱っているため、植物フェノタイピング手法レビューに該当する。

Code and data availability

The supplied blocks are from a review article on polarization spectroscopy in agricultural engineering. The blocks contain only the article text, figure captions, and a reference list citing prior studies; there is no public phenotype/trait dataset, plant image or sensor data, author analysis code, trained model, or a

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