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

Dora Cama-Pinto, Miguel Damas, Juan Antonio Holgado-Terriza, Francisco Gómez-Mula and Alejandro Cama-Pinto
Additional contact information
Dora Cama-Pinto: Department of Computer Architecture and Technology, University of Granada, 18071 Granada, Spain
Miguel Damas: Department of Computer Architecture and Technology, University of Granada, 18071 Granada, Spain
Juan Antonio Holgado-Terriza: Software Engineering Department, University of Granada, 18071 Granada, Spain
Francisco Gómez-Mula: Department of Computer Architecture and Technology, University of Granada, 18071 Granada, Spain
Alejandro Cama-Pinto: Department of Computer Sciences and Electronic, Universidad de la Costa, Barranquilla 080002, Atlantico, Colombia

IJERPH, 2019, vol. 16, issue 10, 1-15

Abstract: 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.

Keywords: propagation model; wireless propagation model; precision agriculture; COST235; ITU-R; FITU-R; Weisbberger model (search for similar items in EconPapers)
JEL-codes: I I1 I3 Q Q5 (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

Downloads: (external link)
https://www.mdpi.com/1660-4601/16/10/1744/pdf (application/pdf)
https://www.mdpi.com/1660-4601/16/10/1744/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jijerp:v:16:y:2019:i:10:p:1744-:d:231940

Access Statistics for this article

IJERPH is currently edited by Ms. Jenna Liu

More articles in IJERPH from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().