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

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

4 Citations (Scopus)

Abstract

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
Subtitle of host publication	proceedings of the 6th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems
Place of Publication	New York
Publisher	Association for Computing Machinery (ACM)
Pages	19-24
Number of pages	6
ISBN (Electronic)	9781450395090
DOIs	https://doi.org/10.1145/3555077.3556472
Publication status	Published - 2022
Externally published	Yes
Event	ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (6th : 2022) - Sydney, Australia Duration: 17 Oct 2022 → 17 Oct 2022

Conference

Conference	ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (6th : 2022)
Abbreviated title	mmNets 2022
Country/Territory	Australia
City	Sydney
Period	17/10/22 → 17/10/22

Keywords

Internet of Things (IoT)
Millimeter wave (mmWave) radar
Soil sensing
Agriculture

Access to Document

10.1145/3555077.3556472

Cite this

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title = "Soil moisture sensing with mmWave radar",

abstract = "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.",

keywords = "Internet of Things (IoT), Millimeter wave (mmWave) radar, Soil sensing, Agriculture",

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",

pages = "19--24",

booktitle = "mmNets '22",

publisher = "Association for Computing Machinery (ACM)",

address = "United States",

note = "ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (6th : 2022), mmNets 2022 ; Conference date: 17-10-2022 Through 17-10-2022",

}

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 6th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems. Association for Computing Machinery (ACM), New York, pp. 19-24, ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (6th : 2022), Sydney, New South Wales, Australia, 17/10/22. https://doi.org/10.1145/3555077.3556472

Soil moisture sensing with mmWave radar. / Chen, Wenyao; Feng, Yimeng; Cardamis, Mark et al.
mmNets '22: proceedings of the 6th ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems. New York: Association for Computing Machinery (ACM), 2022. p. 19-24.

Research output: Chapter in Book/Report/Conference proceeding › Conference proceeding contribution › peer-review

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 - 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 - 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.

KW - Internet of Things (IoT)

KW - Millimeter wave (mmWave) radar

KW - Soil sensing

KW - Agriculture

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DO - 10.1145/3555077.3556472

M3 - Conference proceeding contribution

SP - 19

EP - 24

BT - mmNets '22

PB - Association for Computing Machinery (ACM)

CY - New York

T2 - ACM Workshop on Millimeter-Wave and Terahertz Networks and Sensing Systems (6th : 2022)

Y2 - 17 October 2022 through 17 October 2022

ER -

Soil moisture sensing with mmWave radar

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Keywords

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