Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse
Metadatos
Mostrar el registro completo del ítemAutor
Cama Pinto, Dora; Damas Hermoso, Miguel; Holgado Terriza, Juan Antonio; Gómez Mula, Francisco; Cama Pinto, AlejandroEditorial
MDPI
Materia
Propagation model Wireless propagation model Precision agriculture Weisbberger model COST235
Fecha
2019-05-17Referencia bibliográfica
Cama-Pinto, D., Damas, M., Holgado-Terriza, J. A., Gómez-Mula, F., & Cama-Pinto, A. (2019). Path Loss Determination Using Linear and Cubic Regression Inside a Classic Tomato Greenhouse. International journal of environmental research and public health, 16(10), 1744.
Patrocinador
This research received fund by the Ibero-American Postgraduate University Association (AUIP).Resumen
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.