Vegetation Effect in Paddy Field for a Wireless Sensor Network

Kuramoto, Daisuke; Tokunou, Tatsuki; Hamasaki, Toshihiko

doi:10.1109/usnc-ursi.2018.8602773

Cited by 3 publications

(3 citation statements)

References 2 publications

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“…Another validation was performed by selecting two candidate RSSI measurements at 2.4 GHz frequency. The first candidate measurement was paddy crop with 105 cm average height and 55, 105, and 155 cm antenna heights for both nodes in horizontal polarization [2]. The transmitter generated 4.77 dBm output power.…”

Section: Crop Growth Stage Path Lossmentioning

confidence: 99%

“…The proposed FLR-PLMs were validated using the other measured path losses for the paddy from [2] and the long grass from [3] at 2.4 GHz frequency as shown in Figs. 13 and 14.…”

Section: B Model Validationmentioning

confidence: 99%

“…E-PLM-related studies focused on the ultra-highfrequency (UHF) band (300-3000 MHz). These works include those of Pal et al,proposed PLM 2.4 GHz modeling for rice and millet and presented the path loss exponents for each growth stage [1]; Kuramoto et al proposed exponential-decay PLMs 2.4 GHz for paddy fields at 55, 105, and 155 cm antenna heights [2]; Olasupo et al, proposed PLMs for the vertical and horizontal polarizations of natural short and long grasses at 2.4 GHz frequency [3]; Alsayyari et al, proposed a log-distance E-PLM for tall grass and sparse tree with a 16-radial measurement [4]; and Zang et al, verified a theoretical multiray PLM 400 MHz of a grass field with 0.6 m mean height compared with the LOS measurement at 3.6 m antenna height and showed 3.6 root-mean-square error [5]. Another related study is that of Tang et al, proposed a log-distance PLM with a breakpoint distance on the ground at 5 cm, 50 cm, and 1 m antenna heights above the ground at 470 MHz frequency [6].…”

Section: Introductionmentioning

confidence: 99%

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Modeling Path Loss With the Growth Stages of a Rice Plantation Using Fuzzy Linear Regression

Phaiboon

2023

IEEE Access

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The application of a wireless sensor network (WSN) for infrastructure monitoring has become a popular method of reducing the labor cost and increasing production. However, WSN connectivity may be interrupted because of vegetative growth between communication nodes. To prevent this problem, this study applies models that employ fuzzy linear regression (FLR) to model the radio path loss (PL) for the WSN. The PL data in a crop field from recent works are reviewed and analyzed for the crop growth stages at 2.4 GHz frequency and selected to train the proposed FLR model. A vegetative factor (V) is defined as a membership function of a fuzzy set for the feasible PL data interval of the vegetative stage of crop growth. The obtained fuzzy set provides the upper and lower boundaries for predicting the PL in other stages, such as tiller initiation, panicle, flowering, and maturity. The PL in these stages includes the uncertainty from temperature, humidity, wind, and antenna heights. To prove the introduced concept, the proposed models were validated and compared to existing approaches.

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Section: Crop Growth Stage Path Lossmentioning

confidence: 99%

“…The proposed FLR-PLMs were validated using the other measured path losses for the paddy from [2] and the long grass from [3] at 2.4 GHz frequency as shown in Figs. 13 and 14.…”

Section: B Model Validationmentioning

confidence: 99%