Non-contact wheat moisture detection based on mmWave radar ToF

IF 2.7 2区农林科学 Q1 ENTOMOLOGY Journal of Stored Products Research Pub Date : 2025-01-11 DOI:10.1016/j.jspr.2025.102542

Pengming Hu , Shanshan Duan , Weidong Yang

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引用次数: 0

Abstract

The grain moisture content detection is crucial for ensuring food security. The existing grain moisture detection schemes based on radio frequency (RF) signals have the defects of low flexibility or dependence on a large amount of training data. Thus, this paper proposes a wheat moisture detection system based on millimeter-wave (mmWave) radar time of flight (ToF), termed mm-Smc, which is an efficient and easy-to-deploy intelligent agricultural system based on a mathematical model. The linear fitting function between the multi-antenna average relative ToF (MAAR-ToF) and the moisture content is used as a moisture detection model. Moreover, an adaptive threshold wavelet denoising method for suppressing random noise in radar-received signals is developed. The Zoom Fast Fourier Transform (ZoomFFT) is used to enhance system accuracy. We implement a prototype system using existing commercial mmWave radar and measure six different moisture wheat samples within the range of 10%–15.1%. The results show that the overall detection error of the system is less than 4%.

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来源期刊

Journal of Stored Products Research 生物-昆虫学

CiteScore

5.70

自引率

18.50%

发文量

112

审稿时长

45 days

期刊介绍： The Journal of Stored Products Research provides an international medium for the publication of both reviews and original results from laboratory and field studies on the preservation and safety of stored products, notably food stocks, covering storage-related problems from the producer through the supply chain to the consumer. Stored products are characterised by having relatively low moisture content and include raw and semi-processed foods, animal feedstuffs, and a range of other durable items, including materials such as clothing or museum artefacts.