NEWS ARTICLE
学术动态：Advances in Calibration Methods for FDR-Based Capacitive Soil Moisture Sensors
论文标题：Advances in Calibration Methods for FDR-Based Capacitive Soil Moisture Sensors
发布日期：2026-05-26
作者：Yu Xu, Xizheng Li, Yinghao Song, Yiqi He, Junxiong Peng
DOI：10.3390/s26113366
论文摘要：Soil moisture content plays a crucial role in precision agriculture and geological hazard monitoring, driving the need for stable, reliable, and high-precision sensors. Capacitive soil moisture sensors based on Frequency Domain Reflectometry (FDR) are widely adopted due to their favorable measurement performance, yet their accuracy is highly susceptible to environmental interferences such as temperature, salinity (electrical conductivity), and soil type. This paper systematically reviews current calibration strategies addressing these three factors, classifying them into hardware-based compensation and software-based calibration (including conventional mathematical and machine learning models). Furthermore, it critically analyzes the trade-offs of these approaches in terms of robustness, scalability, and field applicability. To break through current technical limitations, this review argues that future research must prioritize the physical decoupling of multi-parameter interferences under extreme conditions. Additionally, to overcome the generalization crisis of current data-driven models, adaptive strategies utilizing techniques like transfer learning are essential. Finally, implementing Edge-AI on resource-constrained hardware is crucial for achieving calibration-free or real-time online calibration strategies, ensuring long-term measurement accuracy.
元数据：Crossref 收录的 MDPI Sensors 论文。 DOI: 10.3390/s26113366. Vol. 26, Issue 11. Authors: Yu Xu, Xizheng Li, Yinghao Song, Yiqi He, Junxiong Peng.
开放许可：https://creativecommons.org/licenses/by/4.0/
原文链接：https://doi.org/10.3390/s26113366
PDF 链接：https://www.mdpi.com/1424-8220/26/11/3366/pdf