学术动态：Field Performance and Calibration Strategies for Low-Cost Capacitive Soil Moisture Sensors

论文标题：Field Performance and Calibration Strategies for Low-Cost Capacitive Soil Moisture Sensors

发布日期：2026-05-22

作者：Glenn Strypsteen, Magnus Persson, Mykola Miroshnychenko, Nikola Rakonjac

DOI：10.3390/s26113291

论文摘要：Low-cost capacitive (LCC) soil moisture sensors have considerable potential for precision agriculture due to their low cost, low energy consumption, and suitability for IoT-based systems. However, their field performance and the transferability of laboratory calibration to field conditions remain insufficiently documented. The objective of this study was to evaluate the field performance of LCC sensors calibrated in the laboratory and to assess practical calibration strategies for field application. Laboratory calibration was performed for eight soil types, and field performance was evaluated in four experiments under different soil and climatic conditions. The sensors showed high accuracy under laboratory conditions, with RMSE values of 0.002–0.022 m3/m3 for soil-specific calibration, but substantially larger errors when laboratory-derived calibrations were applied directly in the field (RMSE 0.055–0.191 m3/m3). Soil-specific field calibration gave the highest accuracy (RMSE 0.005–0.036 m3/m3), whereas a simplified one-point calibration also improved performance considerably (RMSE 0.006–0.078 m3/m3) while requiring much less effort. Sensor performance declined at high water contents and under saline conditions. The results show that low-cost capacitive sensors can be used for reliable field soil moisture monitoring.

元数据：Crossref 收录的 MDPI Sensors 论文。 DOI: 10.3390/s26113291. Vol. 26, Issue 11. Authors: Glenn Strypsteen, Magnus Persson, Mykola Miroshnychenko, Nikola Rakonjac.

开放许可： https://creativecommons.org/licenses/by/4.0/

原文链接： https://doi.org/10.3390/s26113291

PDF 链接： https://www.mdpi.com/1424-8220/26/11/3291/pdf

来源： MDPI Sensors via Crossref