SoilNutri: A Passive Metasurface-based, Low-cost System for Soil Moisture and Nitrogen Monitoring

Smart agriculture requires efficient and scalable sensing of key soil parameters. While recent wireless sensing systems provide low-cost alternatives, active designs depend on powered underground components with potential instability and contamination risks, whereas passive battery-free approaches suffer from limited accuracy and are typically restricted to moisture detection. This work presents SoilNutri, a fully passive and battery-free metasurface capsule that enables simultaneous, high-precision monitoring of soil moisture and nitrogen concentration. The system employs a complementary split-ring (CSR) metasurface integrated within a sandwich-structured capsule that provides electromagnetic isolation and stable coupling with the surrounding soil. A lightweight two-stage soil-meta-VAE framework reconstructs soil-distorted reflection spectra and jointly predicts moisture and nitrogen from a shared latent representation. Extensive in-lab and field experiments demonstrate high-precision moisture estimation with 0.64% MAE and ppm-level nitrogen prediction with 5.14 ppm MAE across diverse soil types, depths, and seasonal conditions. With a per-unit cost below $1 and a reusable encapsulated design, SoilNutri offers a scalable, sustainable, and physically interpretable solution for multi-nutrient, in-situ soil monitoring for next-generation smart agriculture.

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Publication Details

Journal
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Published
2026-03-16
DOI
https://doi.org/10.1145/3789674
Citations
1
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
21.83
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article

SoilNutri: A Passive Metasurface-based, Low-cost System for Soil Moisture and Nitrogen Monitoring

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1 citations
Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
Soil Moisture and Remote Sensing
21.83
article

SoilNutri: A Passive Metasurface-based, Low-cost System for Soil Moisture and Nitrogen Monitoring

Minhao Cui, Xiao Zhang, Huacheng Zeng, Younsuk Dong, Jie Xiong, Juexing Wang, Qingxu Jin, Ke Sun, Guangjing Wang, Yimeng Liu, Binbin Xie, Tianxing Li, Zhichao Cao, Hui Li
article en
1 citations

Abstract

Smart agriculture requires efficient and scalable sensing of key soil parameters. While recent wireless sensing systems provide low-cost alternatives, active designs depend on powered underground components with potential instability and contamination risks, whereas passive battery-free approaches suffer from limited accuracy and are typically restricted to moisture detection. This work presents SoilNutri, a fully passive and battery-free metasurface capsule that enables simultaneous, high-precision monitoring of soil moisture and nitrogen concentration. The system employs a complementary split-ring (CSR) metasurface integrated within a sandwich-structured capsule that provides electromagnetic isolation and stable coupling with the surrounding soil. A lightweight two-stage soil-meta-VAE framework reconstructs soil-distorted reflection spectra and jointly predicts moisture and nitrogen from a shared latent representation. Extensive in-lab and field experiments demonstrate high-precision moisture estimation with 0.64% MAE and ppm-level nitrogen prediction with 5.14 ppm MAE across diverse soil types, depths, and seasonal conditions. With a per-unit cost below $1 and a reusable encapsulated design, SoilNutri offers a scalable, sustainable, and physically interpretable solution for multi-nutrient, in-situ soil monitoring for next-generation smart agriculture.

Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous TechnologiesVol. 10(1)
Seoul National University (KR), Nanyang Technological University (SG), The University of Texas at Arlington (US), University of South Florida (US), University of Michigan (US), University of Michigan–Dearborn (US), Michigan State University (US)
Zero hunger
Openalex Percentile: Top 1%
Soil Moisture and Remote Sensing
21.83
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