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Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors

Due to their unique characteristics, cosmic-ray neutron sensors (CRNSs) have potential in monitoring and informing irrigation management, and thus optimising the use of water resources in agriculture. However, practical methods to monitor small, irrigated fields with CRNSs are currently not availabl...

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Autores principales: Brogi, Cosimo, Pisinaras, Vassilios, Köhli, Markus, Dombrowski, Olga, Hendricks Franssen, Harrie-Jan, Babakos, Konstantinos, Chatzi, Anna, Panagopoulos, Andreas, Bogena, Heye Reemt
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007241/
https://www.ncbi.nlm.nih.gov/pubmed/36904581
http://dx.doi.org/10.3390/s23052378
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author Brogi, Cosimo
Pisinaras, Vassilios
Köhli, Markus
Dombrowski, Olga
Hendricks Franssen, Harrie-Jan
Babakos, Konstantinos
Chatzi, Anna
Panagopoulos, Andreas
Bogena, Heye Reemt
author_facet Brogi, Cosimo
Pisinaras, Vassilios
Köhli, Markus
Dombrowski, Olga
Hendricks Franssen, Harrie-Jan
Babakos, Konstantinos
Chatzi, Anna
Panagopoulos, Andreas
Bogena, Heye Reemt
author_sort Brogi, Cosimo
collection PubMed
description Due to their unique characteristics, cosmic-ray neutron sensors (CRNSs) have potential in monitoring and informing irrigation management, and thus optimising the use of water resources in agriculture. However, practical methods to monitor small, irrigated fields with CRNSs are currently not available and the challenges of targeting areas smaller than the CRNS sensing volume are mostly unaddressed. In this study, CRNSs are used to continuously monitor soil moisture (SM) dynamics in two irrigated apple orchards (Agia, Greece) of ~1.2 ha. The CRNS-derived SM was compared to a reference SM obtained by weighting a dense sensor network. In the 2021 irrigation period, CRNSs could only capture the timing of irrigation events, and an ad hoc calibration resulted in improvements only in the hours before irrigation (RMSE between 0.020 and 0.035). In 2022, a correction based on neutron transport simulations, and on SM measurements from a non-irrigated location, was tested. In the nearby irrigated field, the proposed correction improved the CRNS-derived SM (from 0.052 to 0.031 RMSE) and, most importantly, allowed for monitoring the magnitude of SM dynamics that are due to irrigation. The results are a step forward in using CRNSs as a decision support system in irrigation management.
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spelling pubmed-100072412023-03-12 Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors Brogi, Cosimo Pisinaras, Vassilios Köhli, Markus Dombrowski, Olga Hendricks Franssen, Harrie-Jan Babakos, Konstantinos Chatzi, Anna Panagopoulos, Andreas Bogena, Heye Reemt Sensors (Basel) Article Due to their unique characteristics, cosmic-ray neutron sensors (CRNSs) have potential in monitoring and informing irrigation management, and thus optimising the use of water resources in agriculture. However, practical methods to monitor small, irrigated fields with CRNSs are currently not available and the challenges of targeting areas smaller than the CRNS sensing volume are mostly unaddressed. In this study, CRNSs are used to continuously monitor soil moisture (SM) dynamics in two irrigated apple orchards (Agia, Greece) of ~1.2 ha. The CRNS-derived SM was compared to a reference SM obtained by weighting a dense sensor network. In the 2021 irrigation period, CRNSs could only capture the timing of irrigation events, and an ad hoc calibration resulted in improvements only in the hours before irrigation (RMSE between 0.020 and 0.035). In 2022, a correction based on neutron transport simulations, and on SM measurements from a non-irrigated location, was tested. In the nearby irrigated field, the proposed correction improved the CRNS-derived SM (from 0.052 to 0.031 RMSE) and, most importantly, allowed for monitoring the magnitude of SM dynamics that are due to irrigation. The results are a step forward in using CRNSs as a decision support system in irrigation management. MDPI 2023-02-21 /pmc/articles/PMC10007241/ /pubmed/36904581 http://dx.doi.org/10.3390/s23052378 Text en © 2023 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Brogi, Cosimo
Pisinaras, Vassilios
Köhli, Markus
Dombrowski, Olga
Hendricks Franssen, Harrie-Jan
Babakos, Konstantinos
Chatzi, Anna
Panagopoulos, Andreas
Bogena, Heye Reemt
Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors
title Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors
title_full Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors
title_fullStr Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors
title_full_unstemmed Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors
title_short Monitoring Irrigation in Small Orchards with Cosmic-Ray Neutron Sensors
title_sort monitoring irrigation in small orchards with cosmic-ray neutron sensors
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10007241/
https://www.ncbi.nlm.nih.gov/pubmed/36904581
http://dx.doi.org/10.3390/s23052378
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