Visualizing moisture distribution in wheat based on terahertz imaging

Abstract

Wheat quality detection plays a crucial role in the processing of grain storage, and moisture distribution is one of the main factors that affect wheat quality. The uniformity of moisture distribution in wheat grains significantly impacts their morphological structures, nutrient distribution, storage period, and stress resistance. This study detects the moisture distribution in wheat grains by using terahertz time-domain spectroscopy (THz-TDS) to scan wheat grains soaked for different times (0, 2, 4, 6, 8, and 10 h) and dried for different times (0, 1, 2, 3, 4, and 5 h). The scanned results are used to observe the water content changes in wheat grains on both temporal and spatial scales. This study calculates the average spectrum of wheat grains to observe the regular changes in the terahertz time-domain spectrum of wheat grains under different soaking and drying degrees. These changes exhibit opposite trends. The frequency domain spectra are obtained through Fast Fourier Transform (FFT), and comparing the imaging effects at different frequency points, it can be observed that there is a good consistency between frequency-domain imaging and time-domain imaging. The experimental results indicate that THz-TDS can be used to effectively observe the moisture distribution in wheat grains during the soaking and drying processes.

Plant phenotyping relevance

THz-TDSによる小麦粒内の水分分布という植物器官の状態を画像化・評価する手法が研究の中心であり、吸水・乾燥過程での画像化性能を検討している。

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