Characterization and water content estimation method of living plant leaves using terahertz waves

Zahid, A., Abbas, H. T. , Imran, M. A. , Qaraqe, K. A., Alomainy, A., Cumming, D. R.S. and Abbasi, Q. H. (2019) Characterization and water content estimation method of living plant leaves using terahertz waves. Applied Sciences, 9(14), 2781. (doi: 10.3390/app9142781)

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An increasing global aridification due to climate change has made the health monitoring of vegetation indispensable to maintaining the food supply chain. Cost-effective and smart irrigation systems are required not only to ensure the efficient distribution of water, but also to track the moisture of plant leaves, which is an important marker of the overall health of the plant. This paper presents a novel electromagnetic method to monitor the water content (WC) and characterisation in plant leaves using the absorption spectra of water molecules in the terahertz (THz) frequency for four consecutive days. We extracted the material properties of leaves of eight types of pot herbs from the scattering parameters, measured using a material characterisation kit in the frequency range of 0.75 to 1.1 THz. From the computed permittivity, it is deduced that the leaf specimens increasingly become transparent to the THz waves as they dry out with the passage of days. Moreover, the loss in weight and thickness of leaves were observed due to the natural evaporation of leaf moisture cells and change occurred in the morphology of fresh and water-stressed leaves. It is also illustrated that loss observed in WC on day 1 was in the range of 5% to 22%, and increased from 83.12% to 99.33% on day 4. Furthermore, we observed an exponential decaying trend in the peaks of the real part of the permittivity from day 1 to 4, which was reminiscent of the trend observed in the weight of all leaves. Thus, results in paper demonstrated that timely detection of water stress in leaves can help to take proactive action in relation to plants health monitoring, and for precision agriculture applications, which is of high importance to improve the overall productivity.

Item Type:Articles
Glasgow Author(s) Enlighten ID:Cumming, Professor David and Imran, Professor Muhammad and Zahid, Mr Adnan and Abbas, Dr Hasan and Abbasi, Dr Qammer
Creator Roles:
Zahid, A.Conceptualization, Software, Writing – original draft
Abbas, H. T.Conceptualization, Software, Writing – original draft
Abbasi, Q. H.Conceptualization, Writing – review and editing, Supervision, Project administration
Cumming, D. R.S.Resources
Imran, M. A.Writing – review and editing, Supervision
Authors: Zahid, A., Abbas, H. T., Imran, M. A., Qaraqe, K. A., Alomainy, A., Cumming, D. R.S., and Abbasi, Q. H.
College/School:College of Science and Engineering > School of Engineering > Electronics and Nanoscale Engineering
College of Science and Engineering > School of Engineering > Systems Power and Energy
Journal Name:Applied Sciences
ISSN (Online):2076-3417
Published Online:10 July 2019
Copyright Holders:Copyright © 2019 The Authors
First Published:First published in Applied Sciences 9(14): 2781
Publisher Policy:Reproduced under a Creative Commons License

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