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Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water

Modern irrigation technologies and tools can help boost fertigation efficiency and sustainability, particularly when using irrigation water of varying quality. In this study, a high-tech irrigation head using a new fertigation optimization tool called NutriBalance, which is designed to manage feed w...

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Autores principales: Imbernón-Mulero, Alberto, Maestre-Valero, José F., Martínez-Alvarez, Victoriano, García-García, Francisco J., Jódar-Conesa, Francisco J., Gallego-Elvira, Belén
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130640/
https://www.ncbi.nlm.nih.gov/pubmed/37123858
http://dx.doi.org/10.3389/fpls.2023.1149956
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author Imbernón-Mulero, Alberto
Maestre-Valero, José F.
Martínez-Alvarez, Victoriano
García-García, Francisco J.
Jódar-Conesa, Francisco J.
Gallego-Elvira, Belén
author_facet Imbernón-Mulero, Alberto
Maestre-Valero, José F.
Martínez-Alvarez, Victoriano
García-García, Francisco J.
Jódar-Conesa, Francisco J.
Gallego-Elvira, Belén
author_sort Imbernón-Mulero, Alberto
collection PubMed
description Modern irrigation technologies and tools can help boost fertigation efficiency and sustainability, particularly when using irrigation water of varying quality. In this study, a high-tech irrigation head using a new fertigation optimization tool called NutriBalance, which is designed to manage feed waters of different qualities, has been evaluated from technical and economic perspectives. NutriBalance computes the optimal fertigation dose based on specific data about the equipment, the crop, the irrigation water, and the fertilizers available, in order to enable autonomous and accurate water and fertilizer supply. The system was trialed in a grapefruit orchard irrigated with fresh and desalinated water for several values of crop nutritional requirements and considering different fertilizer price scenarios. The results showed the good interoperability between the tool and the irrigation head and the nearly flawless ability (error below 7% for most ions) of the system to provide the prescribed fertigation with different combinations of irrigation water. Fertilizer savings of up to 40% were achieved, which, for the lifespan of the equipment, were estimated to correspond to around 500 EUR/ha/year. The results of this study can encourage the adoption of novel technologies and tools by farmers.
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spelling pubmed-101306402023-04-27 Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water Imbernón-Mulero, Alberto Maestre-Valero, José F. Martínez-Alvarez, Victoriano García-García, Francisco J. Jódar-Conesa, Francisco J. Gallego-Elvira, Belén Front Plant Sci Plant Science Modern irrigation technologies and tools can help boost fertigation efficiency and sustainability, particularly when using irrigation water of varying quality. In this study, a high-tech irrigation head using a new fertigation optimization tool called NutriBalance, which is designed to manage feed waters of different qualities, has been evaluated from technical and economic perspectives. NutriBalance computes the optimal fertigation dose based on specific data about the equipment, the crop, the irrigation water, and the fertilizers available, in order to enable autonomous and accurate water and fertilizer supply. The system was trialed in a grapefruit orchard irrigated with fresh and desalinated water for several values of crop nutritional requirements and considering different fertilizer price scenarios. The results showed the good interoperability between the tool and the irrigation head and the nearly flawless ability (error below 7% for most ions) of the system to provide the prescribed fertigation with different combinations of irrigation water. Fertilizer savings of up to 40% were achieved, which, for the lifespan of the equipment, were estimated to correspond to around 500 EUR/ha/year. The results of this study can encourage the adoption of novel technologies and tools by farmers. Frontiers Media S.A. 2023-04-12 /pmc/articles/PMC10130640/ /pubmed/37123858 http://dx.doi.org/10.3389/fpls.2023.1149956 Text en Copyright © 2023 Imbernón-Mulero, Maestre-Valero, Martínez-Alvarez, García-García, Jódar-Conesa and Gallego-Elvira https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Plant Science
Imbernón-Mulero, Alberto
Maestre-Valero, José F.
Martínez-Alvarez, Victoriano
García-García, Francisco J.
Jódar-Conesa, Francisco J.
Gallego-Elvira, Belén
Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
title Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
title_full Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
title_fullStr Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
title_full_unstemmed Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
title_short Evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
title_sort evaluation of an autonomous smart system for optimal management of fertigation with variable sources of irrigation water
topic Plant Science
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10130640/
https://www.ncbi.nlm.nih.gov/pubmed/37123858
http://dx.doi.org/10.3389/fpls.2023.1149956
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