Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse

The production of tomatoes in greenhouses, in addition to its relevance in nutrition and health, is an activity of the agroindustry with high economic importance in Spain, the first exporter in Europe of this vegetable. The technological updating with precision agriculture, implemented in order to e...

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Autores:: Cama-Pinto, Dora
Damas, Miguel
Holgado-Terriza, Juan Antonio
Gómez-Mula, Francisco
Cama-Pinto, Alejandro

Tipo de recurso:: Article of journal

Fecha de publicación:: 2019

Institución:: Corporación Universidad de la Costa

Repositorio:: REDICUC - Repositorio CUC

Idioma:: eng

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network_name_str	REDICUC - Repositorio CUC
repository_id_str
dc.title.spa.fl_str_mv	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
title	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
spellingShingle	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse propagation model wireless propagation model precision agriculture COST235 ITU-R FITU-R Weisbberger model
title_short	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
title_full	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
title_fullStr	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
title_full_unstemmed	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
title_sort	Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
dc.creator.fl_str_mv	Cama-Pinto, Dora Damas, Miguel Holgado-Terriza, Juan Antonio Gómez-Mula, Francisco Cama-Pinto, Alejandro
dc.contributor.author.spa.fl_str_mv	Cama-Pinto, Dora Damas, Miguel Holgado-Terriza, Juan Antonio Gómez-Mula, Francisco Cama-Pinto, Alejandro
dc.subject.spa.fl_str_mv	propagation model wireless propagation model precision agriculture COST235 ITU-R FITU-R Weisbberger model
topic	propagation model wireless propagation model precision agriculture COST235 ITU-R FITU-R Weisbberger model
description	The production of tomatoes in greenhouses, in addition to its relevance in nutrition and health, is an activity of the agroindustry with high economic importance in Spain, the first exporter in Europe of this vegetable. The technological updating with precision agriculture, implemented in order to ensure adequate production, leads to a deployment planning of wireless sensors with limited coverage by the attenuation of radio waves in the presence of vegetation. The well-known propagation models FSPL (Free-Space Path Loss), two-ray, COST235, Weissberger, ITU-R (International Telecommunications Union—Radiocommunication Sector), FITU-R (Fitted ITU-R), offer values with an error percentage higher than 30% in the 2.4 GHz band in relation to those measured in field tests. As a substantial improvement, we have developed optimized propagation models, with an error estimate of less than 9% in the worst-case scenario for the later benefit of farmers, consumers and the economic chain in the production of tomatoes.
publishDate	2019
dc.date.accessioned.none.fl_str_mv	2019-07-11T15:40:35Z
dc.date.available.none.fl_str_mv	2019-07-11T15:40:35Z
dc.date.issued.none.fl_str_mv	2019-05-14
dc.type.spa.fl_str_mv	Artículo de revista
dc.type.coar.fl_str_mv	http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.coar.spa.fl_str_mv	http://purl.org/coar/resource_type/c_6501
dc.type.content.spa.fl_str_mv	Text
dc.type.driver.spa.fl_str_mv	info:eu-repo/semantics/article
dc.type.redcol.spa.fl_str_mv	http://purl.org/redcol/resource_type/ART
dc.type.version.spa.fl_str_mv	info:eu-repo/semantics/acceptedVersion
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dc.identifier.issn.spa.fl_str_mv	1661-7827
dc.identifier.uri.spa.fl_str_mv	https://hdl.handle.net/11323/4940
dc.identifier.instname.spa.fl_str_mv	Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv	REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv	https://repositorio.cuc.edu.co/
identifier_str_mv	1661-7827 Corporación Universidad de la Costa REDICUC - Repositorio CUC
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dc.language.iso.none.fl_str_mv	eng
language	eng
dc.relation.ispartof.spa.fl_str_mv	https://doi.org/10.3390/ijerph16101744
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spelling	Cama-Pinto, DoraDamas, MiguelHolgado-Terriza, Juan AntonioGómez-Mula, FranciscoCama-Pinto, Alejandro2019-07-11T15:40:35Z2019-07-11T15:40:35Z2019-05-141661-7827https://hdl.handle.net/11323/4940Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The production of tomatoes in greenhouses, in addition to its relevance in nutrition and health, is an activity of the agroindustry with high economic importance in Spain, the first exporter in Europe of this vegetable. The technological updating with precision agriculture, implemented in order to ensure adequate production, leads to a deployment planning of wireless sensors with limited coverage by the attenuation of radio waves in the presence of vegetation. The well-known propagation models FSPL (Free-Space Path Loss), two-ray, COST235, Weissberger, ITU-R (International Telecommunications Union—Radiocommunication Sector), FITU-R (Fitted ITU-R), offer values with an error percentage higher than 30% in the 2.4 GHz band in relation to those measured in field tests. As a substantial improvement, we have developed optimized propagation models, with an error estimate of less than 9% in the worst-case scenario for the later benefit of farmers, consumers and the economic chain in the production of tomatoes.Cama-Pinto, Dora-0000-0003-0726-196X-600Damas, Miguel-0000-0003-2599-8076-600Holgado-Terriza, Juan Antonio-0000-0002-8031-1276-600Gómez-Mula, FranciscoCama-Pinto, Alejandro-0000-0002-1364-7394-600engInternational Journal of Environmental Research and Public Healthhttps://doi.org/10.3390/ijerph161017441. Razafimandimby, C.; Loscrí, V.; Vegni, A.M.; Neri, A. Efficient Bayesian communication approach for smart agriculture applications. 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Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse

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