2022/02/04 by Wenli Jiao, Jiao, Wenli, Ju Wang +7 · 6 citations
Engineering · Environmental Science · #Computer science #Energy Harvesting in Wireless Networks #Engineering #Environmental science #Feature (linguistics) #Geology #Geotechnical engineering #Meteorology #Microwave Engineering and Waveguides #Moisture #Remote sensing #SIGNAL (programming language) #Soil Moisture and Remote Sensing #Soil science #Water content #eess.SP
paper · pdf · doi:10.48550/arxiv.2202.03275
published in arXiv (Cornell University) (Cornell University)
arxiv created 2022/02/04 · openalex publication_date 2022/02/04 · arxiv updated 2022/02/08 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Soil sensing plays an important role in increasing agricultural output and protecting soil sites. Existing soil sensing methods failed to achieve both high accuracy and low cost. In this paper, we design and implement a high-accuracy and low cost chipless soil moisture sensing system called SoilTAG. We propose a general chipless sensor design methodology which can allow us to customize the signal feature for sensing soil moisture, instead of blindly capturing the disturbance law of the soil. Based on this principle, we design a battery-free passive tag which can respond to different soil-moisture. Further, we optimize hardware and algorithm design of SoilTAG to locate the passive tag and extract its reflection signal feature to identify soil-moisture using WiFi signals. Extensive experimental results reveal that it can identify 2% absolute soil water content with a sensing distance up to 3m in open field. When the sensing distance is up to 13 m, it can also achieve 5% absolute soil-moisture sensing resolution.