Commodity RF Sensing of Belowground Tuber Growth

TL;DR

This study demonstrates that aboveground RF sensing in the 2.0-3.5 GHz band can non-invasively monitor belowground tuber growth stages and localize tubers with high accuracy, offering a new method for crop management.

Contribution

The paper introduces a novel RF sensing approach that classifies tuber growth stages and localizes tubers without buried sensors, validated in controlled greenhouse conditions.

Findings

Spectral features classify growth stages with up to 87.5% accuracy.

Cellular link indicators enable 5 cm tuber localization with 95% accuracy.

RF sensing provides a non-invasive alternative for belowground crop monitoring.

Abstract

Belowground yield-forming organs of root and tuber crops are difficult to measure during growth, and management therefore relies on aboveground proxies and destructive sampling. Aboveground wireless links could provide a low-cost, non-invasive alternative, but strong attenuation and soil-dependent variability make repeatable subsurface sensing challenging. In a controlled greenhouse pot study of sweet potato, we deploy aboveground antennas in a line-of-sight-suppressed geometry and collect daily swept-frequency channel spectra together with standardized cellular link indicators, revealing consistent frequency-dependent attenuation and rippling as tubers develop. Here, we show that swept-frequency measurements in the 2.0-3.5 gigahertz band yield four interpretable spectral features that classify day-indexed growth stages with up to 87.5% accuracy across two soil recipes and two moisture regimes, and that fusing cellular link-quality indicators enables 5-centimeter-grid tuber localization with up to 95.0% accuracy, providing a proof-of-concept for subsurface crop monitoring without buried sensors, and motivating validation across cultivars and larger soil volumes.