Predicting leaf state effects on radiowaves based on propagation loss measurements

Salameh, M. S. H. Al

doi:10.1051/matecconf/201929202005

Cited by 3 publications

(3 citation statements)

References 15 publications

(16 reference statements)

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“…All graphs exhibit similar gradients (Figure 3(f)) and in all cases the measured RF loss is generally higher than modelled loss irrespective of vegetation thickness. The consistent offset between the measured and modelled values, we believe, is attributable to not adequately accounting for the unbound water in estimating EWP using Equation (21). The method we used to dry the leaves may not have removed the water completely, especially the bound water [23] [24].…”

Section: Resultsmentioning

confidence: 99%

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A Model for RF Loss through Vegetation with Varying Water Content

Peden¹,

Bradbury²,

Lamb³

et al. 2021

JEMAA

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Assessing plant water status is important for monitoring plant physiology. Radio signals are attenuated when passing through vegetation. Both analytical and empirical models developed for radio frequency (RF) loss through vegetation have been dependent on experimental measurements and those measurements have been completed in specific situations. 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. Radio waves are affected especially by water and the relationship between water content in vegetation expressed as effective water path (EWP) in mm and measured RF loss (dB) at 2.4 GHz was investigated in this work. The EWP of eucalyptus leaves of varying amounts of leaf moisture (0% -41.5%) ranged from 0 -14 mm, respectively. When the model was compared with the actual RF loss there was a systematic offset equivalent to a residual leaf moisture content of 6.5% that was unaccounted for in the leaf moisture content determination (oven drying). This was attributed to bound water. When the model was adjusted for this amount of additional leaf water, the average RMSE in predicted RF loss was ±2.2 dB and was found to explain 89% of the variance in measured RF loss.

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Section: Resultsmentioning

confidence: 99%

“…The dependency of attenuation on water content is through the dielectric constant which is highly dependent on the water content inside the material. Furthermore, moisture on the surface of leaves of the trees also absorbs the RF waves resulting in more attenuation [18] [19] [20] [21]. Journal of Electromagnetic Analysis and Applications…”

Section: Introductionmentioning

confidence: 99%

A Model for RF Loss through Vegetation with Varying Water Content

Peden¹,

Bradbury²,

Lamb³

et al. 2021

JEMAA

View full text Add to dashboard Cite

show abstract

“…The dependency of attenuation on water content is through the dielectric constant which is highly dependent on the water content inside the material. Furthermore, moisture on the surface of leaves of the trees absorbed the signals and caused more attenuation [32] [39] [40] [41].…”

Section: Introductionmentioning

confidence: 99%

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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Tethered Balloon Communication Technology Provides Mobile Communication Network Coverage for Complex Terrain Environments

Xie

et al. 2020

2020 IEEE 9th Joint International Information Technology and Artificial Intelligence Conference (ITAIC)

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Predicting leaf state effects on radiowaves based on propagation loss measurements

Cited by 3 publications

References 15 publications

A Model for RF Loss through Vegetation with Varying Water Content

A Model for RF Loss through Vegetation with Varying Water Content

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

Tethered Balloon Communication Technology Provides Mobile Communication Network Coverage for Complex Terrain Environments

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