Performance Evaluation of Soil Moisture Sensors in Coarse- and Fine-Textured Michigan Agricultural Soils

Younsuk Dong, Steve Miller and Lyndon Kelley
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Younsuk Dong: Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
Steve Miller: Department of Biosystems and Agricultural Engineering, Michigan State University, East Lansing, MI 48824, USA
Lyndon Kelley: Michigan State University Extension, Michigan State University, East Lansing, MI 48824, USA

Agriculture, 2020, vol. 10, issue 12, 1-11

Abstract: Soil moisture content is a critical parameter in understanding the water movement in soil. A soil moisture sensor is a tool that has been widely used for many years to measure soil moisture levels for their ability to provide nondestructive continuous data from multiple depths. The calibration of the sensor is important in the accuracy of the measurement. The factory-based calibration of the soil moisture sensors is generally developed under limited laboratory conditions, which are not always appropriate for field conditions. Thus, calibration and field validation of the soil moisture sensors for specific soils are needed. The laboratory experiment was conducted to evaluate the performance of factory-based calibrated soil moisture sensors. The performance of the soil moisture sensors was evaluated using Root Mean Squared Error (RMSE), Index of Agreement (IA), and Mean Bias Error (MBE). The result shows that the performance of the factory-based calibrated CS616 and EC5 did not meet all the statistical criteria except the CS616 sensor for sand. The correction equations are developed using the laboratory experiment. The validation of correction equations was evaluated in agricultural farmlands. Overall, the correction equations for CS616 and EC5 improved the accuracy in field conditions.

Keywords: soil moisture sensor; sensor calibration; time domain reflectometry; frequency domain reflectometry; coarse-textured soil; fine-textured soil (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2020
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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