On the accuracy of factory-calibrated low-cost soil water content sensors
Visualitza/Obre
Autor/a
Domínguez-Niño, Jesús María
Bogena, Heye Reemt
Huisman, Johan Alexander
Schilling, Bernd
Casadesús, Jaume
Data de publicació
2019-07-13ISSN
1424-8220
Resum
Soil water content (SWC) monitoring is often used to optimize agricultural irrigation.
Commonly, capacitance sensors are used for this task. However, the factory calibrations have been
often criticized for their limited accuracy. The aim of this paper is to test the degree of improvement
of various sensor- and soil-specific calibration options compared to factory calibrations by taking the
10HS sensor as an example. To this end, a two-step sensor calibration was carried out. In the first step,
the sensor response was related to dielectric permittivity using calibration in media with well-defined
permittivity. The second step involved the establishment of a site-specific relationship between
permittivity and soil water content using undisturbed soil samples and time domain reflectometry
(TDR) measurements. Our results showed that a model, which considered the mean porosity and a
fitted dielectric permittivity of the solid phase for each soil and depth, provided the best fit between
bulk permittivity and SWC. Most importantly, it was found that the two-step calibration approach
(RMSE: 1.03 vol.%) provided more accurate SWC estimates compared to the factory calibration
(RMSE: 5.33 vol.%). Finally, we used these calibrations on data from drip-irrigated almond and apple
orchards and compared the factory calibration with our two-step calibration approach.
Tipus de document
Article
Versió del document
Versió publicada
Llengua
Anglès
Matèries (CDU)
631/635 - Gestió de les explotacions agrícoles
Pàgines
18
Publicat per
MDPI
Publicat a
Sensors
Citació
Domínguez-Niño, Jesús María, Heye Reemt Bogena, Johan Alexander Huisman, Bernd Schilling, and Jaume Casadesús. 2019. "On The Accuracy Of Factory-Calibrated Low-Cost Soil Water Content Sensors". Sensors 19 (14): 3101. MDPI AG. doi:10.3390/s19143101.
Número de l'acord de la subvenció
MINECO/Programa Estatal de promoción del talento y su empleabilidad en I+D+I/RTA2013-00045-C04-01/ES/Incorporación de inteligencia artificial en los algoritmos de reprogramación del riego localizado/
Programa
Ús Eficient de l'Aigua en Agricultura
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