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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...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572486/ https://www.ncbi.nlm.nih.gov/pubmed/31108838 http://dx.doi.org/10.3390/ijerph16101744 |
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author | Cama-Pinto, Dora Damas, Miguel Holgado-Terriza, Juan Antonio Gómez-Mula, Francisco Cama-Pinto, Alejandro |
author_facet | Cama-Pinto, Dora Damas, Miguel Holgado-Terriza, Juan Antonio Gómez-Mula, Francisco Cama-Pinto, Alejandro |
author_sort | Cama-Pinto, Dora |
collection | PubMed |
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. |
format | Online Article Text |
id | pubmed-6572486 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-65724862019-06-18 Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse Cama-Pinto, Dora Damas, Miguel Holgado-Terriza, Juan Antonio Gómez-Mula, Francisco Cama-Pinto, Alejandro Int J Environ Res Public Health Article 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. MDPI 2019-05-17 2019-05 /pmc/articles/PMC6572486/ /pubmed/31108838 http://dx.doi.org/10.3390/ijerph16101744 Text en © 2019 by the authors. 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 (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Cama-Pinto, Dora Damas, Miguel Holgado-Terriza, Juan Antonio Gómez-Mula, Francisco Cama-Pinto, Alejandro 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 |
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_short | 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 |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6572486/ https://www.ncbi.nlm.nih.gov/pubmed/31108838 http://dx.doi.org/10.3390/ijerph16101744 |
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