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Calibration method to address influences of temperature and electrical conductivity for a low-cost soil water content sensor in the agricultural field

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  • Satoh, Yuhi
  • Kakiuchi, Hideki

Abstract

The performance of a low-cost soil water content sensor (5TE, Decagon Devices, Inc.) for monitoring volumetric soil water content in an agricultural field was investigated. Prior to the in-field measurements, calibration methods for the sensor to correct the influences on soil temperature and electrical conductivity (EC) of the soil water were established. Dried soil collected from the agricultural field, pure water, and an in-laboratory thermostatic reservoir were used. First, calibration formulas for the soil temperature and EC were obtained using a dataset of laboratory measurements. Second, the soil water content in the field was measured using the 5TE sensor with three different calibration curves, applying: (A) no correction of EC for curves at 20 °C, (B) temperature correction only, and (C) temperature and EC corrections. The differences between the sensor and actual measurements were (1) 2.5%, (2) 2.5%, and (3) 2.2% expressed as volumetric soil water content (m3 m3). Higher accuracy was confirmed in the 5TE-sensor measurements under condition (3) at higher EC values. Finally, we demonstrated that the 5TE sensor with the proposed calibration method is useful for monitoring soil water content in agricultural fields.

Suggested Citation

  • Satoh, Yuhi & Kakiuchi, Hideki, 2021. "Calibration method to address influences of temperature and electrical conductivity for a low-cost soil water content sensor in the agricultural field," Agricultural Water Management, Elsevier, vol. 255(C).
  • Handle: RePEc:eee:agiwat:v:255:y:2021:i:c:s0378377421002808
    DOI: 10.1016/j.agwat.2021.107015
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    References listed on IDEAS

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    1. Zwart, Sander J. & Bastiaanssen, Wim G. M., 2004. "Review of measured crop water productivity values for irrigated wheat, rice, cotton and maize," Agricultural Water Management, Elsevier, vol. 69(2), pages 115-133, September.
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    1. Wang, Jian & Li, Xin & Zhang, Zhenggui & Li, Xiaofei & Han, Yingchun & Feng, Lu & Yang, Beifang & Wang, Guoping & Lei, Yaping & Xiong, Shiwu & Xin, Minghua & Wang, Zhanbiao & Li, Yabing, 2022. "Application of image technology to simulate optimal frequency of automatic collection of volumetric soil water content data," Agricultural Water Management, Elsevier, vol. 269(C).
    2. Zhang, Yuehong & Li, Xianyue & Šimůnek, Jiří & Shi, Haibin & Chen, Ning & Hu, Qi, 2023. "Quantifying water and salt movement in a soil-plant system of a corn field using HYDRUS (2D/3D) and the stable isotope method," Agricultural Water Management, Elsevier, vol. 288(C).
    3. Yunpeng Sun & Xin Zhang & Jingtian Xian & Jingsong Yang & Xiaobing Chen & Rongjiang Yao & Yongming Luo & Xiangping Wang & Wenping Xie & Dan Cao, 2023. "Saline–Alkaline Characteristics during Desalination Process and Nitrogen Input Regulation in Reclaimed Tidal Flat Soils," Sustainability, MDPI, vol. 15(5), pages 1-13, March.

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