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Performance evaluation of a recently developed soil water content, dielectric permittivity, and bulk electrical conductivity electromagnetic sensor

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  • Kargas, George
  • Soulis, Konstantinos X.

Abstract

CS655 Water Content Reflectometer (WCR) (Campbell Scientific, Inc., Logan, UT, USA) is a recently developed multiparameter electromagnetic sensor measuring volumetric soil water content (θ), bulk soil electrical conductivity (σb), and temperature. In this study, CS655 sensor’s performance was investigated through laboratory experiments using a set of liquids with known dielectric and salinity properties and soils featuring a wide range of conditions (including physico-chemical properties, water regimes and salinity of the water solution). The sensor’s performance was analyzed in comparison with WET and ML2 theta probe (Delta-T Device Ltd, Cambridge, UK) dielectric sensors. It was found that CS655 apparent dielectric permittivity (εa) readings were higher than that of Topp’s permittivity-water content relationship, especially at higher soil water content values, as much as 12 dimensionless permittivity units. The results suggested that the relationship between experimentally measured soil water content (θm) and εa was strongly linear (0.911

Suggested Citation

  • Kargas, George & Soulis, Konstantinos X., 2019. "Performance evaluation of a recently developed soil water content, dielectric permittivity, and bulk electrical conductivity electromagnetic sensor," Agricultural Water Management, Elsevier, vol. 213(C), pages 568-579.
    • Handle: RePEc:eee:agiwat:v:213:y:2019:i:c:p:568-579
    DOI: 10.1016/j.agwat.2018.11.002
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    1. Singh, J. & Lo, T. & Rudnick, D.R. & Irmak, S. & Blanco-Canqui, H., 2019. "Quantifying and correcting for clay content effects on soil water measurement by reflectometers," Agricultural Water Management, Elsevier, vol. 216(C), pages 390-399.
    2. Domínguez-Niño, Jesús María & Oliver-Manera, Jordi & Girona, Joan & Casadesús, Jaume, 2020. "Differential irrigation scheduling by an automated algorithm of water balance tuned by capacitance-type soil moisture sensors," Agricultural Water Management, Elsevier, vol. 228(C).
    3. Lo, Tsz Him & Rudnick, Daran R. & Singh, Jasreman & Nakabuye, Hope Njuki & Katimbo, Abia & Heeren, Derek M. & Ge, Yufeng, 2020. "Field assessment of interreplicate variability from eight electromagnetic soil moisture sensors," Agricultural Water Management, Elsevier, vol. 231(C).
    4. Konstantinos X. Soulis & Emmanouil Psomiadis & Paraskevi Londra & Dimitris Skuras, 2020. "A New Model-Based Approach for the Evaluation of the Net Contribution of the European Union Rural Development Program to the Reduction of Water Abstractions in Agriculture," Sustainability, MDPI, vol. 12(17), pages 1-25, September.
    5. Sebastián Bañón & Jesús Ochoa & Daniel Bañón & María Fernanda Ortuño & María Jesús Sánchez-Blanco, 2020. "Assessment of the Combined Effect of Temperature and Salinity on the Outputs of Soil Dielectric Sensors in Coconut Fiber," Sustainability, MDPI, vol. 12(16), pages 1-14, August.
    6. Hongjun Chen & Muhammad Awais & Linze Li & Wei Zhang & Mukhtar Iderawumi Abdulraheem & Yani Xiong & Vijaya Raghavan & Jiandong Hu, 2024. "Soil-Specific Calibration Using Plate Compression Filling Technique and Monitoring Soil Biomass Degradation Based on Dielectric Properties," Agriculture, MDPI, vol. 14(5), pages 1-16, May.
    7. Panagiota Antonia Petsetidi & George Kargas, 2024. "Evaluation of a Multivariate Calibration Model for the WET Sensor That Incorporates Apparent Dielectric Permittivity and Bulk Soil Electrical Conductivity," Land, MDPI, vol. 13(9), pages 1-14, September.

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