数字农科院2.0

Simulation and sensitivity analysis of light propagation in watermelon tissues for enhanced Vis/NIR spectroscopic quality assessment

文献类型： 外文期刊

作者： Yande Liu;Jie Chen;Guantian Wang;Jing Wang;Sijie Xu;Tao Wan;Wennan Liu

作者机构：

关键词： Light propagation;Monte Carlo simulation;Optical properties;Source-detector;Watermelon

期刊名称： Measurement: Journal of the International Measurement Confederation

ISSN： 0263-2241

年卷期： 2025 年 253 卷

页码：

收录情况： SCIE（2025版） ; ; EI（2025版）

摘要： Visible/Near-Infrared (Vis/NIR) spectroscopy is an advanced analytical technique used for assessing the internal quality of watermelon. However, due to the thick pericarp and large size of the fruit, light penetration is hindered, which can hinder accurate quality assessment. This study aims to simulate the propagation of light within watermelon tissues using the Monte Carlo method to identify the optimal detection model. Initially, the single integrating sphere system combined with the inverse adding-doubling (SIS-IAD) method was employed to measure the optical properties (OPs) of different tissue layers (epicarp, endocarp, and flesh) in ten“Qilin”watermelons. Then, based on the optical properties of the watermelon tissues obtained from measurements, the propagation of light within the tissues was simulated, and a spatial sensitivity analysis was conducted. The results indicate that as the source-detector angle increases, the contribution of the flesh gradually increases while the contributions of epicarp and endocarp decrease, stabilizing at 135°. To maximize the extraction of flesh information and improve the signal-to-noise ratio, the source-detector angle can be set between 90°and 135°, and the light source power can be increased or multiple light sources can be used. The spatial sensitivity distribution indicates that increasing the sensitivity of the detector helps to obtain deeper flesh information. Finally, the economic feasibility, application potential, user-friendliness, and practical feasibility of this method in agriculture and other industries are discussed. These findings will support the development of more precise instruments and methodologies for nondestructive watermelon quality assessment.

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