Enhancement of Arduino-Based Capacitive Soil Moisture Sensor

The calibration process involved comparing data from capacitive sensors with soil moisture content measured continuously by the volumetric water content (VWC) method. The results showed that sensor responses to soil moisture varied meaningfully across different soil textures, highlighting the need for texture-specific calibration to ensure measurement accuracy. A linear calibration function was identified as the most effective method for modeling sensor behavior across various soil types, guaranteeing reliable performance in diverse farming applications. The study concludes by accounting for a better and more efficient approach to developing a sensor for soil moisture detection.

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Publication Details

Published
2024-12-02
DOI
https://doi.org/10.1109/ingarss61818.2024.10983984
Primary Topic
Soil Moisture and Remote Sensing
Type
article
Field-Weighted Citation Impact
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article

Enhancement of Arduino-Based Capacitive Soil Moisture Sensor

S. Lokesh Kumar, Gulab Singh, DishantYadav
Soil Moisture and Remote Sensing
article

Enhancement of Arduino-Based Capacitive Soil Moisture Sensor

S. Lokesh Kumar, Gulab Singh, DishantYadav
article en

Abstract

The calibration process involved comparing data from capacitive sensors with soil moisture content measured continuously by the volumetric water content (VWC) method. The results showed that sensor responses to soil moisture varied meaningfully across different soil textures, highlighting the need for texture-specific calibration to ensure measurement accuracy. A linear calibration function was identified as the most effective method for modeling sensor behavior across various soil types, guaranteeing reliable performance in diverse farming applications. The study concludes by accounting for a better and more efficient approach to developing a sensor for soil moisture detection.

Indian Institute of Technology Bombay (IN)
Zero hunger
Openalex Percentile: Top 75%
Soil Moisture and Remote Sensing
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