A Model for RF Loss through Vegetation with Varying Water Content

Peden, Sonam; Bradbury, Ronald; Lamb, David; Hedley, Mark

doi:10.4236/jemaa.2021.133003

Cited by 3 publications

(2 citation statements)

References 21 publications

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“…Equation (12) in this paper simplifies to Equation (7) in Peden, et al [33], in the special case of N = 1 medium.…”

Section: Second Two-port Networkmentioning

confidence: 82%

“…In our previous paper, we developed a model to calculate the RF loss through packed Eucalyptus leaves [33]. In this work, we extend our previous model to calculate the radio frequency (RF) signal loss through tree canopies (combination of vegetation and air) and the model was compared against experimental measurements of RF loss for Eucalyptus tree canopies at 2.4 GHz.…”

Section: Le Vine and Karammentioning

confidence: 99%

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RF Loss Model for Tree Canopies with Varying Water Content

Peden¹,

Bradbury²,

Lamb³

et al. 2021

JEMAA

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Detection of plant water status is important for monitoring plant physiology. Previous studies showed that radio waves are attenuated when passing through vegetation such as trees, and models (both empirical and analytical) were developed. However, for models to be more broadly applicable across a broad range of vegetation types and constructs, basic electrical properties of the vegetation need to be characterised. In our previous work, a model was developed to calculate the RF loss through vegetation with varying water content. In this paper, the model was extended to calculate RF loss through tree canopies with or without an air gap. When the model was compared with the actual RF loss acquired using Eucalyptus blakelyi trees (with and without leaves), there was a systematic offset equivalent to a residual moisture content of 13% that was attributed to bound water. When the model was adjusted for the additional water content, the effective water path (EWP) was found to explain 72% of the variance in the measured RF loss.

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“…Equation (12) in this paper simplifies to Equation (7) in Peden, et al [33], in the special case of N = 1 medium.…”

Section: Second Two-port Networkmentioning

confidence: 82%

Section: Le Vine and Karammentioning

confidence: 99%

RF Loss Model for Tree Canopies with Varying Water Content

Peden¹,

Bradbury²,

Lamb³

et al. 2021

JEMAA

Self Cite

View full text Add to dashboard Cite

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An Investigation on Effects of In-Leaf and Out-of-Leaf Conditions on Propagated Radio Broadcast FM Signal

Adesanya

Popoola

2023

J. Eng. Adv.

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The daily increasing desire for the right information at any place, anytime, and anywhere by people has made broadcast media indispensable media for disseminating information to the public. Propagation models are deployed in planning and designing wireless communication systems. Different environments do require a unique propagation model. In this paper, least squares regression analysis was utilized to create the path loss models for the in-leaf and out-of-leaf conditions of a teak (Tectona grandis) plantation. The developed model was found to be more suitable compared to the existing Weissberger’s and COST235 models because it gives the least difference in root mean square error of 3.9 dB in the two scenarios compared to COST 234 and Weissberger, which stand at 11.2 dB and 10.8 dB, respectively, and the developed model was closer to the assessed path loss obtained from the measurement carried out. The results of the study establish a standard model that can be deployed in the effective planning and design of wireless communication links for very high bands within the radial distance in the tropical rain forest of 30m to 45m foliage depth. This study confirms the need for distinctive models for radio signals at different locations under different conditions.

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Prediction of Water Content of Eucalyptus Leaves Using 2.4 GHz Radio Wave

Peden¹,

Bradbury²,

Lamb³

et al. 2021

JEMAA

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Assessing plant water status is important for monitoring plant physiology. Previous studies showed that radio waves are attenuated when passing through vegetation such as trees. The degree of radio frequency (RF) loss has previously been measured for various tree types but the relationship between water content and RF loss has not been quantified. In this study, the amount of water inside leaves was expressed as an effective water path (EWP), the thickness of a hypothetical sheet of 100% water with the same mass. A 2.4331 GHz radio wave was transmitted through a wooden frame covered on both sides with 5 mm clear acrylic sheets and filled with Eucalyptus laevopinea leaves. The RF loss through the leaves was measured for different stages of drying. The results showed that there is a nonlinear relationship between effective water path (EWP) in mm and RF loss in dB. It can be concluded that 2.4 GHz frequency radio waves can be used to predict the water content inside eucalyptus leaves (0 < EWP < 14 mm; RMSE ± 0.87 mm) and demonstrates the potential to measure the water content of whole trees.

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A Model for RF Loss through Vegetation with Varying Water Content

Cited by 3 publications

References 21 publications

RF Loss Model for Tree Canopies with Varying Water Content

RF Loss Model for Tree Canopies with Varying Water Content

An Investigation on Effects of In-Leaf and Out-of-Leaf Conditions on Propagated Radio Broadcast FM Signal

Prediction of Water Content of Eucalyptus Leaves Using 2.4 GHz Radio Wave

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