Soil moisture sensing with mmWave radar

Wenyao Chen; Yimeng Feng; Mark Cardamis; Cheng Jiang; Wei Song; Oula Ghannoum; Wen Hu

doi:10.1145/3555077.3556472

Soil moisture sensing with mmWave radar

Wenyao Chen, Yimeng Feng, Mark Cardamis, Cheng Jiang, Wei Song, Oula Ghannoum, Wen Hu

Western Sydney University

Research output: Chapter in Book / Conference Paper › Conference Paper › peer-review

Abstract

![CDATA[Soil moisture is a significant factor that influences plant productivity and natural resource management. Accurate commercial soil moisture sensors often require manual data collection and cost thousands of dollars, which makes data collection inefficient and only accessible to high-budget smart farms. To achieve cost-effective and high-efficient soil moisture sensing, we propose a millimeterwave (mmWave) radar-based method, which can obtain the soil moisture from the propagation time and Angle of Arrival (AoA) of the reflected signals received at multiple antennas. Our method only requires a single Commercial-Off-The-Shelf (COTS) mmWave radar to automatically estimate the soil moisture level. Our experiment in outdoor environments shows that the proposed system produces a mean absolute error of 2.2% volumetric water content (VWC), demonstrating the feasibility of the low-cost non-contact soil moisture sensing for smart farming.]]

Original language	English
Title of host publication	mmNets '22: Proceedings of the Millimeter-Wave Networks and Sensing Systems, Part of MobiCom 2022, 17 October 2022, Sydney, Australia
Publisher	Association for Computing Machinery
Pages	19-24
Number of pages	6
ISBN (Print)	9781450395090
DOIs	https://doi.org/10.1145/3555077.3556472
Publication status	Published - 2022
Event	ACM Workshop on Millimeter Wave Networks and Sensing Systems - Duration: 1 Jan 2022 → …

Conference

Conference	ACM Workshop on Millimeter Wave Networks and Sensing Systems
Period	1/01/22 → …

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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10.1145/3555077.3556472

Cite this

@inproceedings{d80bc0bbfe83497fa7bb401e2911027f,

title = "Soil moisture sensing with mmWave radar",

abstract = "![CDATA[Soil moisture is a significant factor that influences plant productivity and natural resource management. Accurate commercial soil moisture sensors often require manual data collection and cost thousands of dollars, which makes data collection inefficient and only accessible to high-budget smart farms. To achieve cost-effective and high-efficient soil moisture sensing, we propose a millimeterwave (mmWave) radar-based method, which can obtain the soil moisture from the propagation time and Angle of Arrival (AoA) of the reflected signals received at multiple antennas. Our method only requires a single Commercial-Off-The-Shelf (COTS) mmWave radar to automatically estimate the soil moisture level. Our experiment in outdoor environments shows that the proposed system produces a mean absolute error of 2.2% volumetric water content (VWC), demonstrating the feasibility of the low-cost non-contact soil moisture sensing for smart farming.]]",

author = "Wenyao Chen and Yimeng Feng and Mark Cardamis and Cheng Jiang and Wei Song and Oula Ghannoum and Wen Hu",

year = "2022",

doi = "10.1145/3555077.3556472",

language = "English",

isbn = "9781450395090",

pages = "19--24",

booktitle = "mmNets '22: Proceedings of the Millimeter-Wave Networks and Sensing Systems, Part of MobiCom 2022, 17 October 2022, Sydney, Australia",

publisher = "Association for Computing Machinery",

note = "ACM Workshop on Millimeter Wave Networks and Sensing Systems ; Conference date: 01-01-2022",

}

Chen, W, Feng, Y, Cardamis, M, Jiang, C, Song, W, Ghannoum, O & Hu, W 2022, Soil moisture sensing with mmWave radar. in mmNets '22: Proceedings of the Millimeter-Wave Networks and Sensing Systems, Part of MobiCom 2022, 17 October 2022, Sydney, Australia. Association for Computing Machinery, pp. 19-24, ACM Workshop on Millimeter Wave Networks and Sensing Systems, 1/01/22. https://doi.org/10.1145/3555077.3556472

TY - GEN

T1 - Soil moisture sensing with mmWave radar

AU - Chen, Wenyao

AU - Feng, Yimeng

AU - Cardamis, Mark

AU - Jiang, Cheng

AU - Song, Wei

AU - Ghannoum, Oula

AU - Hu, Wen

PY - 2022

Y1 - 2022

N2 - ![CDATA[Soil moisture is a significant factor that influences plant productivity and natural resource management. Accurate commercial soil moisture sensors often require manual data collection and cost thousands of dollars, which makes data collection inefficient and only accessible to high-budget smart farms. To achieve cost-effective and high-efficient soil moisture sensing, we propose a millimeterwave (mmWave) radar-based method, which can obtain the soil moisture from the propagation time and Angle of Arrival (AoA) of the reflected signals received at multiple antennas. Our method only requires a single Commercial-Off-The-Shelf (COTS) mmWave radar to automatically estimate the soil moisture level. Our experiment in outdoor environments shows that the proposed system produces a mean absolute error of 2.2% volumetric water content (VWC), demonstrating the feasibility of the low-cost non-contact soil moisture sensing for smart farming.]]

AB - ![CDATA[Soil moisture is a significant factor that influences plant productivity and natural resource management. Accurate commercial soil moisture sensors often require manual data collection and cost thousands of dollars, which makes data collection inefficient and only accessible to high-budget smart farms. To achieve cost-effective and high-efficient soil moisture sensing, we propose a millimeterwave (mmWave) radar-based method, which can obtain the soil moisture from the propagation time and Angle of Arrival (AoA) of the reflected signals received at multiple antennas. Our method only requires a single Commercial-Off-The-Shelf (COTS) mmWave radar to automatically estimate the soil moisture level. Our experiment in outdoor environments shows that the proposed system produces a mean absolute error of 2.2% volumetric water content (VWC), demonstrating the feasibility of the low-cost non-contact soil moisture sensing for smart farming.]]

UR - https://hdl.handle.net/1959.7/uws:76822

U2 - 10.1145/3555077.3556472

DO - 10.1145/3555077.3556472

M3 - Conference Paper

SN - 9781450395090

SP - 19

EP - 24

BT - mmNets '22: Proceedings of the Millimeter-Wave Networks and Sensing Systems, Part of MobiCom 2022, 17 October 2022, Sydney, Australia

PB - Association for Computing Machinery

T2 - ACM Workshop on Millimeter Wave Networks and Sensing Systems

Y2 - 1 January 2022

ER -

Soil moisture sensing with mmWave radar

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