Sensor-free Soil Moisture Sensing Using LoRa Signals
Zhaoxin Chang, Fusang Zhang, Jie Xiong, Junqi Ma, Beihong Jin, Daqing Zhang
摘要
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 unsynchronization of LoRa transmitter and receiver. In this work, we propose to include a low-cost switch to equip the LoRa node with two antennas to address the issue. We develop a delicate chirp ratio approach to cancel out the phase offset caused by transceiver unsynchronization to extract accurate phase information. The proposed system design has multiple unique advantages including high accuracy, robustness against motion interference and large sensing range for large-scale deployment in smart agriculture. Experiments with commodity LoRa nodes show that our system can accurately estimate soil moisture at an average error of 3.1%, achieving a performance comparable to high-end commodity soil moisture sensors. Field studies show that the proposed system can accurately sense soil moisture even when the LoRa gateway is 100 m away from the LoRa node, enabling wide-area soil moisture sensing for the first time.
问问这篇 Paper
问问你的智能体。
Lune 读过与它相关的顶会 Paper,每个回答都会注明依据哪几篇。
引用它的顶会 Paper12
- BFMSense: WiFi Sensing Using Beamforming Feedback MatrixEnze Yi, Dan Wu, Jie Xiong, Fusang Zhang 等NSDI 2024 · 被引用 47 次
- XCopy: Boosting Weak Links for Reliable LoRa CommunicationXianjin Xia, Qianwu Chen, Ningning Hou, Yuanqing Zheng 等MobiCom 2023 · 被引用 44 次
- MSense: Boosting Wireless Sensing Capability Under Motion InterferenceZhaoxin Chang, Fusang Zhang, Jie Xiong, Weiyan Chen 等MobiCom 2024 · 被引用 40 次
- Quantum Wireless Sensing: Principle, Design and ImplementationFusang Zhang, Beihong Jin, Zitong Lan, Zhaoxin Chang 等MobiCom 2023 · 被引用 29 次
- Enabling Concurrency for Non-orthogonal LoRa ChannelsFu Yu, Xiaolong Zheng, Liang Liu, Huadong MaMobiCom 2023 · 被引用 28 次
相关 Paper
- Demeter: Reliable Cross-soil LPWAN with Low-cost Signal Polarization AlignmentYidong Ren, Wei Sun, Jialuo Du, Huaili Zeng 等MobiCom 2024 · 被引用 27 次
- Don't Miss Weak Packets: Boosting LoRa Reception with Antenna DiversitiesNingning Hou, Xianjin Xia, Yuanqing ZhengINFOCOM 2022 · 被引用 19 次
- Making LoRa Sensing Coexist with CommunicationBinbin Xie, Minhao Cui, Deepak Ganesan, Jie XiongMobiCom 2025 · 被引用 3 次
- GPSoil: Towards low-cost soil moisture sensing using GNSS signalsHuixin Dong, Jingqi Lin, Minhao Cui, Serene Zhang 等MobiCom 2025 · 被引用 1 次
- Soil Moisture Sensing with UAV-Mounted IR-UWB Radar and Deep LearningRong Ding, Haiming Jin, Dong Xiang, Xiaocheng Wang 等UbiComp 2023 · 被引用 33 次
