A Tree Attenuation Factor Model for a Low-Power Wide-Area Network in a Ruby Mango Plantation †
Issued Date
2024-02-01
Resource Type
ISSN
14248220
Scopus ID
2-s2.0-85184668350
Journal Title
Sensors
Volume
24
Issue
3
Rights Holder(s)
SCOPUS
Bibliographic Citation
Sensors Vol.24 No.3 (2024)
Suggested Citation
Phaiboon S., Phokharatkul P. A Tree Attenuation Factor Model for a Low-Power Wide-Area Network in a Ruby Mango Plantation †. Sensors Vol.24 No.3 (2024). doi:10.3390/s24030750 Retrieved from: https://repository.li.mahidol.ac.th/handle/20.500.14594/97276
Title
A Tree Attenuation Factor Model for a Low-Power Wide-Area Network in a Ruby Mango Plantation †
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Author's Affiliation
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Abstract
Ruby mangoes are a cultivar with a thick skin, firm texture, red color, no splinters, and thin seeds that is grown in eastern Thailand for export. Implementing a low-power wide-area network (LPWAN) for smart agriculture applications can help increase the crop quality or yield. In this study, empirical path loss models were developed to help plan a LPWAN, operating at 433 MHz, of a Ruby mango plantation in Sakaeo, eastern Thailand. The proposed models take advantage of the symmetric pattern of Ruby mango trees cultivated in the plantation by using tree attenuation factors (TAFs) to consider the path loss at the trunk and canopy levels. A field experiment was performed to collect received signal strength indicator (RSSI) measurements and compare the performance of the proposed models with those of conventional models. The proposed models demonstrated a high prediction accuracy for both line-of-sight and non-line-of-sight routes and performed better than the other models.