Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/45212
Title: Prediction of Water Content of Eucalyptus Leaves Using 2.4 GHz Radio Wave
Contributor(s): Peden, Sonam  (author); Bradbury, Ronald C  (author)orcid ; Lamb, David William  (author)orcid ; Hedley, Mark (author)
Publication Date: 2021-08-30
Open Access: Yes
DOI: 10.4236/jemaa.2021.138008
Handle Link: https://hdl.handle.net/1959.11/45212
Abstract: 

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.

Publication Type: Journal Article
Source of Publication: Journal of Electromagnetic Analysis and Applications, 13(8), p. 111-122
Publisher: Scientific Research Publishing, Inc
Place of Publication: United States of America
ISSN: 1942-0749
1942-0730
Fields of Research (FoR) 2020: 400608 Wireless communication systems and technologies (incl. microwave and millimetrewave)
510399 Classical physics not elsewhere classified
300710 Tree nutrition and physiology
Socio-Economic Objective (SEO) 2020: 260104 Management of water consumption by plant production
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
Appears in Collections:Journal Article
School of Science and Technology

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