A simplified model for path loss estimation in Citrus Plantations at 3.5 GHz
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Juan Llácer, Leandro; Párraga Riquelme, David; Molina García-Pardo, José María; Rodríguez Rodríguez, José Víctor; Martínez Inglés, María Teresa; [et al.]Área de conocimiento
Teoría de la Señal y las ComunicacionesPatrocinadores
This work was supported in part by the Fundación Séneca, Agencia de Ciencia y Tecnología de la Región de Murcia, Spain, through project 20804/PI/18, included in the Regional Program for the Promotion of the Research (2019) of the Fundación Séneca, Agencia and by the Ministerio de Ciencia e Innovación, Spain under Grant PID2019-107885GB-C33.Fecha de publicación
2022-06-01Editorial
IEEECita bibliográfica
L. Juan-Llácer, D. P. Riquelme, J. -M. Molina-Garcia-Pardo, J. -V. Rodríguez, M. -T. Martinez-Ingles and J. Pascual-García, "A Simplified Model for Path Loss Estimation in Citrus Plantations at 3.5 GHz," in IEEE Antennas and Wireless Propagation Letters, vol. 21, no. 6, pp. 1183-1187, June 2022, doi: 10.1109/LAWP.2022.3161098.Revisión por pares
siPalabras clave
Precision agricultureradio planning
radiowave propagation
Resumen
Agriculture 4.0 represents a considerable increase in the number of sensors, as well as the appearance of new wireless technologies, which will meet the need to efficiently plan radio communication systems in agricultural environments. In this letter, a simplified model for path loss estimation in citrus plantations is
proposed. The model assumes that, for long distances, the physical mechanism is a parallel transmission path over the treetops that can bemodeled by multiple-knife-edge diffraction. In our scenario, where the height of the transmitter is above the height of the trees, we proposed to estimate the multiple-knife-edge diffraction contribution by the settled field defined byWalfisch and Bertoni. In this way, the propagation losses estimated by the model have been compared with measurements carried out at 3.5 GHz in a lemon
plantation before and after the fruit were collected. It has been observed that the slope of the regression line of the measurements yields values of 3.6 ...
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