作者
Zhaoxin Chang, Fusang Zhang, Jie Xiong, Junqi Ma, Beihong Jin, Daqing Zhang
发表日期
2022/7/7
期刊
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies
卷号
6
期号
2
页码范围
1-27
出版商
ACM
简介
Soil moisture sensing is one of the most important components in smart agriculture. It plays a critical role in increasing crop yields and reducing water waste. However, existing commercial soil moisture sensors are either expensive or inaccurate, limiting their real-world deployment. In this paper, we utilize wide-area LoRa signals to sense soil moisture without a need of dedicated soil moisture sensors. Different from traditional usage of LoRa in smart agriculture which is only for sensor data transmission, we leverage LoRa signal itself as a powerful sensing tool. The key insight is that the dielectric permittivity of soil which is closely related to soil moisture can be obtained from phase readings of LoRa signals. Therefore, antennas of a LoRa node can be placed in the soil to capture signal phase readings for soil moisture measurements. Though promising, it is non-trivial to extract accurate phase information due to …
引用总数
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Z Chang, F Zhang, J Xiong, J Ma, B Jin, D Zhang - Proceedings of the ACM on Interactive, Mobile …, 2022