In Situ Leaf Water Status Sensor Using Resonant Tunneling Diodes as Terahertz Source and Sensor
This study presents a portable, compact, and cost-effective in situ monitoring device designed to monitor leaf water status through a terahertz (THz) source, THz sensor, and infrared array sensor. The innovation in the proposed device is the use of resonant tunneling diodes (RTDs) within THz sources...
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Veröffentlicht in: | IEEE sensors journal 2024-06, Vol.24 (12), p.19073-19081 |
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creator | Chuma, Euclides Lourenco Lorenzo Bravo Roger, Leonardo Mikhail, Bezhko |
description | This study presents a portable, compact, and cost-effective in situ monitoring device designed to monitor leaf water status through a terahertz (THz) source, THz sensor, and infrared array sensor. The innovation in the proposed device is the use of resonant tunneling diodes (RTDs) within THz sources and detectors operating at ~0.28 THz and using a low-cost system's architecture that consists of an integrated signal generator and scope, coupled with associated hardware connected to a computer. This configuration enables signal acquisition and subsequent fast Fourier transform (FFT) processing to extract peak power values to determine the plant leaf's water content and the leaf surface's temperature using an infrared array sensor. Experimental analysis demonstrates that the proposed THz system exhibits a substantial correlation, with an R-squared value of approximately 0.97, when compared to moisture loss measurements obtained using a moisture analyzer. Furthermore, it effectively detects moisture loss within the range of 25%-85% and utilizes thermal images from an infrared sensor array to identify potential health issues in plants. Therefore, the device proposed in this work demonstrates a portable, in situ, nondestructive, and cost-effective solution tool for directly assessing water stress or drought conditions within a plant. |
doi_str_mv | 10.1109/JSEN.2024.3395351 |
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The innovation in the proposed device is the use of resonant tunneling diodes (RTDs) within THz sources and detectors operating at ~0.28 THz and using a low-cost system's architecture that consists of an integrated signal generator and scope, coupled with associated hardware connected to a computer. This configuration enables signal acquisition and subsequent fast Fourier transform (FFT) processing to extract peak power values to determine the plant leaf's water content and the leaf surface's temperature using an infrared array sensor. Experimental analysis demonstrates that the proposed THz system exhibits a substantial correlation, with an R-squared value of approximately 0.97, when compared to moisture loss measurements obtained using a moisture analyzer. Furthermore, it effectively detects moisture loss within the range of 25%-85% and utilizes thermal images from an infrared sensor array to identify potential health issues in plants. Therefore, the device proposed in this work demonstrates a portable, in situ, nondestructive, and cost-effective solution tool for directly assessing water stress or drought conditions within a plant.</description><identifier>ISSN: 1530-437X</identifier><identifier>EISSN: 1558-1748</identifier><identifier>DOI: 10.1109/JSEN.2024.3395351</identifier><identifier>CODEN: ISJEAZ</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Fast Fourier transformations ; Fourier transforms ; Infrared ; Infrared analysis ; Infrared imagery ; Infrared sensors ; leaf ; Moisture content ; plant ; Plants (botany) ; Portable equipment ; Resonant tunneling ; resonant tunneling diodes (RTDS) ; sensor ; Sensor arrays ; Sensors ; Signal generators ; Temperature measurement ; Temperature sensors ; terahertz (THz) ; Terahertz communications ; Terahertz radiation ; Tunnel diodes ; water</subject><ispartof>IEEE sensors journal, 2024-06, Vol.24 (12), p.19073-19081</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c246t-91652293668d64477822f357b895b06f5bcf6397f66b3452f990dd344261c1a43</cites><orcidid>0000-0003-0279-6172 ; 0000-0001-8856-2750</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/10521450$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,776,780,792,27903,27904,54737</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/10521450$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Chuma, Euclides Lourenco</creatorcontrib><creatorcontrib>Lorenzo Bravo Roger, Leonardo</creatorcontrib><creatorcontrib>Mikhail, Bezhko</creatorcontrib><title>In Situ Leaf Water Status Sensor Using Resonant Tunneling Diodes as Terahertz Source and Sensor</title><title>IEEE sensors journal</title><addtitle>JSEN</addtitle><description>This study presents a portable, compact, and cost-effective in situ monitoring device designed to monitor leaf water status through a terahertz (THz) source, THz sensor, and infrared array sensor. The innovation in the proposed device is the use of resonant tunneling diodes (RTDs) within THz sources and detectors operating at ~0.28 THz and using a low-cost system's architecture that consists of an integrated signal generator and scope, coupled with associated hardware connected to a computer. This configuration enables signal acquisition and subsequent fast Fourier transform (FFT) processing to extract peak power values to determine the plant leaf's water content and the leaf surface's temperature using an infrared array sensor. Experimental analysis demonstrates that the proposed THz system exhibits a substantial correlation, with an R-squared value of approximately 0.97, when compared to moisture loss measurements obtained using a moisture analyzer. Furthermore, it effectively detects moisture loss within the range of 25%-85% and utilizes thermal images from an infrared sensor array to identify potential health issues in plants. 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The innovation in the proposed device is the use of resonant tunneling diodes (RTDs) within THz sources and detectors operating at ~0.28 THz and using a low-cost system's architecture that consists of an integrated signal generator and scope, coupled with associated hardware connected to a computer. This configuration enables signal acquisition and subsequent fast Fourier transform (FFT) processing to extract peak power values to determine the plant leaf's water content and the leaf surface's temperature using an infrared array sensor. Experimental analysis demonstrates that the proposed THz system exhibits a substantial correlation, with an R-squared value of approximately 0.97, when compared to moisture loss measurements obtained using a moisture analyzer. Furthermore, it effectively detects moisture loss within the range of 25%-85% and utilizes thermal images from an infrared sensor array to identify potential health issues in plants. 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subjects | Fast Fourier transformations Fourier transforms Infrared Infrared analysis Infrared imagery Infrared sensors leaf Moisture content plant Plants (botany) Portable equipment Resonant tunneling resonant tunneling diodes (RTDS) sensor Sensor arrays Sensors Signal generators Temperature measurement Temperature sensors terahertz (THz) Terahertz communications Terahertz radiation Tunnel diodes water |
title | In Situ Leaf Water Status Sensor Using Resonant Tunneling Diodes as Terahertz Source and Sensor |
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