Demo Abstract: Comprehensive Wireless Soil Component Sensing via VNIR and LoRa

Soil composition sensing is essential for precision agriculture, sustainable land management, and optimizing crop yields. However, existing sensing systems face major limitations, including extensive calibration needs to account for soil variability, a narrow focus on measurements for specific properties, and sensitivity to the placement of the device. These challenges hinder practical deployment. This demo shows SoilX, a comprehensive wireless soil sensing system that quantifies all major soil components---including aluminosilicates, water, organic carbon, and micronutrients---using RF and VNIR sensing technologies. To enable the generalizability, SoilX employs contrastive pretraining to mitigate cross-component interference. Additionally, a tetrahedron-based antenna geometry ensures robustness to device placements. Extensive evaluations in both lab and field settings demonstrate that SoilX achieves state-of-the-art accuracy in soil composition analysis with low costs.

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Publication Details

Published
2025-05-04
DOI
https://doi.org/10.1145/3715014.3724377
Citations
1
Primary Topic
IoT Networks and Protocols
Type
article
Field-Weighted Citation Impact
0.73

Funders

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article

Demo Abstract: Comprehensive Wireless Soil Component Sensing via VNIR and LoRa

Sikai Yang, Yuning Chen, Wan Du, Kang Yang et al.
1 citations
IoT Networks and Protocols
0.73
article

Demo Abstract: Comprehensive Wireless Soil Component Sensing via VNIR and LoRa

Sikai Yang, Yuning Chen, Wan Du, Kang Yang, Yuanlin Yang
article en
1 citations

Abstract

Soil composition sensing is essential for precision agriculture, sustainable land management, and optimizing crop yields. However, existing sensing systems face major limitations, including extensive calibration needs to account for soil variability, a narrow focus on measurements for specific properties, and sensitivity to the placement of the device. These challenges hinder practical deployment. This demo shows SoilX, a comprehensive wireless soil sensing system that quantifies all major soil components---including aluminosilicates, water, organic carbon, and micronutrients---using RF and VNIR sensing technologies. To enable the generalizability, SoilX employs contrastive pretraining to mitigate cross-component interference. Additionally, a tetrahedron-based antenna geometry ensures robustness to device placements. Extensive evaluations in both lab and field settings demonstrate that SoilX achieves state-of-the-art accuracy in soil composition analysis with low costs.

University of California, Merced (US)
National Science Foundation
Openalex Percentile: Top 29%
IoT Networks and Protocols
0.73
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