globalchange  > 全球变化的国际研究计划
DOI: 10.3390/app9142781
WOS记录号: WOS:000479026900009
论文题名:
Characterization and Water Content Estimation Method of Living Plant Leaves Using Terahertz Waves
作者: Zahid, Adnan1; Abbas, Hasan T.1; Imran, Muhammad A.1; Qaraqe, Khalid A.2; Alomainy, Akram3; Cumming, David R. S.1; Abbasi, Qammer H.1
通讯作者: Zahid, Adnan ; Abbasi, Qammer H.
刊名: APPLIED SCIENCES-BASEL
EISSN: 2076-3417
出版年: 2019
卷: 9, 期:14
语种: 英语
英文关键词: vegetation health monitoring ; leaf water content ; terahertz ; sensing ; plants health
WOS关键词: COMPLEX PERMITTIVITY ; TECHNOLOGY
WOS学科分类: Chemistry, Multidisciplinary ; Materials Science, Multidisciplinary ; Physics, Applied
WOS研究方向: Chemistry ; Materials Science ; Physics
英文摘要:

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.


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/142982
Appears in Collections:全球变化的国际研究计划

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作者单位: 1.Univ Glasgow, James Watt Sch Engn, Glasgow G12 8QQ, Lanark, Scotland
2.Texas A&M Univ, Dept Elect & Comp Engn, Doha 23874, Qatar
3.Queen Mary Univ London, Sch Elect Engn & Comp Sci, London E1 4NS, England

Recommended Citation:
Zahid, Adnan,Abbas, Hasan T.,Imran, Muhammad A.,et al. Characterization and Water Content Estimation Method of Living Plant Leaves Using Terahertz Waves[J]. APPLIED SCIENCES-BASEL,2019-01-01,9(14)
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