Performance analysis of dielectric soil moisture sensor

Iftikhar Ahmed Saeed, Minjuan Wang, Yanzhao Ren, Qinglan Shi, Muhammad Hammad Malik, Sha Tao, Qiang Cai and Wanlin Gao
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Iftikhar Ahmed Saeed: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China
Minjuan Wang: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China
Yanzhao Ren: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China
Qinglan Shi: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China
Muhammad Hammad Malik: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China
Sha Tao: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China
Qiang Cai: Beijing Key Laboratory of Big Data Technology for Food Safety, Beijing Technology and Business University, Beijing, P.R. China
Wanlin Gao: College of Information and Electrical Engineering, China Agricultural University, Beijing, P.R. China

Soil and Water Research, 2019, vol. 14, issue 4, 195-199

Abstract: Soil moisture (SM) varies greatly in the soil profile. We developed a low-cost sensor for SM monitoring at three vertical depths. The sensor function was based on dielectric theory to monitor SM. Three linear calibration models were established using different soils. The sensor for each depth showed acceptable statistics of validations. The linear fit coefficient of determination (R2) ranged from 0.95 to 0.99. Root mean square error (RMSE) ranged from 1.35 to 4.30. The sensor performed consistently for at least 4 months, and is suitable for continuous monitoring of in situ SM and irrigation scheduling.

Keywords: dielectric sensor; soil moisture; vertical depths (search for similar items in EconPapers)
Date: 2019
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Persistent link: https://EconPapers.repec.org/RePEc:caa:jnlswr:v:14:y:2019:i:4:id:74-2018-swr

DOI: 10.17221/74/2018-SWR

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