EC-Sense: Radio <u>E</u> nergy <u>C</u> apture for Ultra-Low-Power Wireless Soil Moisture <u>Sens</u> ing

Understanding spatial and temporal variations in soil moisture is critical for sustainable agriculture. Contactless approaches such as ground-penetrating radar and satellite sensing are either expensive or offer limited resolution, making them less scalable. In-situ sensors provide higher resolution but often involve challenging data retrieval processes and wired infrastructure. In this work, we propose EC-Sense, a wire-free system for in-situ soil moisture sensing that employs ultra-low-power sensor Tags buried underground and reference Tags placed on the surface. EC-Sense introduces a novel sensing modality based on energy capture time (EC Time), defined as the time taken by a sensor Tag to harvest sufficient energy to activate a response. EC Time serves as a proxy for path loss in soil, which correlates strongly with soil moisture. By leveraging differential path loss—estimated from the EC Times of both surface and buried Tags—EC-Sense isolates soil-induced attenuation from environmental effects above ground. This differential sensing approach, combined with a decoupled sensing and communication architecture, enables EC-Sense to overcome limitations of existing wideband RF-based sensors. Despite using an active radio, our Tags consume only 3.7 μW on average and achieve a projected lifetime of 10 years under realistic conditions. We deployed EC-Sense in an open agricultural field for over a week and measured soil moisture at multiple depths daily, achieving 98% accuracy compared to ground truth. We further evaluate EC-Sense across three representative soil types—sandy loam, silt loam, and silty clay loam—and demonstrate reliable sensing at depths of 40 cm, 30 cm, and 25 cm, respectively, at field capacity.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2025-12-02
DOI
https://doi.org/10.1145/3770660
Primary Topic
Soil Moisture and Remote Sensing
Type
article
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article

EC-Sense: Radio <u>E</u> nergy <u>C</u> apture for Ultra-Low-Power Wireless Soil Moisture <u>Sens</u> ing

Yoganand Biradavolu, Leandros Tassiulas, Vaishnavi Ranganathan, Bhuvana Krishnaswamy et al.
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Soil Moisture and Remote Sensing
article

EC-Sense: Radio <u>E</u> nergy <u>C</u> apture for Ultra-Low-Power Wireless Soil Moisture <u>Sens</u> ing

Yoganand Biradavolu, Leandros Tassiulas, Vaishnavi Ranganathan, Bhuvana Krishnaswamy, Jian Ding
article en

Abstract

Understanding spatial and temporal variations in soil moisture is critical for sustainable agriculture. Contactless approaches such as ground-penetrating radar and satellite sensing are either expensive or offer limited resolution, making them less scalable. In-situ sensors provide higher resolution but often involve challenging data retrieval processes and wired infrastructure. In this work, we propose EC-Sense, a wire-free system for in-situ soil moisture sensing that employs ultra-low-power sensor Tags buried underground and reference Tags placed on the surface. EC-Sense introduces a novel sensing modality based on energy capture time (EC Time), defined as the time taken by a sensor Tag to harvest sufficient energy to activate a response. EC Time serves as a proxy for path loss in soil, which correlates strongly with soil moisture. By leveraging differential path loss—estimated from the EC Times of both surface and buried Tags—EC-Sense isolates soil-induced attenuation from environmental effects above ground. This differential sensing approach, combined with a decoupled sensing and communication architecture, enables EC-Sense to overcome limitations of existing wideband RF-based sensors. Despite using an active radio, our Tags consume only 3.7 μW on average and achieve a projected lifetime of 10 years under realistic conditions. We deployed EC-Sense in an open agricultural field for over a week and measured soil moisture at multiple depths daily, achieving 98% accuracy compared to ground truth. We further evaluate EC-Sense across three representative soil types—sandy loam, silt loam, and silty clay loam—and demonstrate reliable sensing at depths of 40 cm, 30 cm, and 25 cm, respectively, at field capacity.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 9(4)
Dakota State University (US), Microsoft (United States) (US), University of Wisconsin–Madison (US), Yale University (US), Madison Group (United States) (US)
Openalex Percentile: Top 64%
Soil Moisture and Remote Sensing
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