Publication: Path Loss Model for the Bananas and Weeds Environment Based on Grey System Theory
Issued Date
2021-01-01
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ISSN
19317360
15599450
15599450
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2-s2.0-85126396381
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Mahidol University
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SCOPUS
Bibliographic Citation
Progress in Electromagnetics Research Symposium. Vol.2021-November, (2021), 413-418
Suggested Citation
Pisit Phokharatkul, Supachai Phaiboon Path Loss Model for the Bananas and Weeds Environment Based on Grey System Theory. Progress in Electromagnetics Research Symposium. Vol.2021-November, (2021), 413-418. doi:10.1109/PIERS53385.2021.9694777 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/76962
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Title
Path Loss Model for the Bananas and Weeds Environment Based on Grey System Theory
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Abstract
This paper presents a prediction of path loss for wireless sensor network (WSN) deployment in the bananas and weeds environment. The banana plant and weed density affect banana quality and productivity. The WSNs applied to detect the banana plant density and weeds density in the farm. The path loss predicted model derived from received signal strength (RSS) measurements at different distances using grey system theory. Grey system theory has the advantage of needing a little sample data and calculating no characteristic quantity. This model use to predict the banana plant density and weeds density. In addition, the proposed model is compared the traditional model. From the model, it found that the RSSs varied according to the density of banana plants and weeds including the height of bananas.