Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants

Kamlesh S. Patle; Biswajit Dehingia; Hemen Kalita; Vinay S. Palaparthy

doi:10.1016/j.compag.2022.107225

Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants

Kamlesh S. Patle, Biswajit Dehingia, Hemen Kalita, Vinay S. Palaparthy

Research output: Contribution to journal › Article › peer-review

14 Scopus citations

Abstract

Plant disease prediction plays a pivotal role to abate the crop loss. For this purpose, early disease prediction models have been explored, where information about leaf wetness duration (LWD) is one of the important factors. The leaf wetness duration is measured with the help of leaf wetness sensors (LWS). Here, the LWS is fabricated on the polyamide flexible substrate where graphene oxide (GO) is used as the sensing film to detect the water molecules on the leaf canopy. Fabricated GO LWS has been tested under laboratory conditions, we exposed the entire sensing film with water molecule and we observed that it offers response of about 45000 % with respect to the air. Subsequently, observed response time of the fabricated sensor is around 400 s with recovery time of about 100 s. Further, the fabricated sensor shows only 2 % change in the response when exposed to the temperature ranging from 20 0C to 65 0C. Under field conditions, to explore the efficacy of the fabricated LWS, we benchmarked the LWD measured using the GO LWS with commercial LWS (Phytos 31). We have deployed the fabricated GO LWS along with Phytos 31 on the Tulsi (Ocimum tenuiflorum) medical plant. The on-field testing of the GO LWS indicates that maximum difference in LWD value using fabricated GO LWS and Phytos 31 is around ± 30 min.

Original language	English (US)
Pages (from-to)	107225
Journal	Computers and Electronics in Agriculture
Volume	200
DOIs	https://doi.org/10.1016/j.compag.2022.107225
State	Published - Jul 21 2022
Externally published	Yes

Bibliographical note

KAUST Repository Item: Exported on 2022-09-14
Acknowledgements: The authors are thankful the Department of Science and Technology - Science and Engineering Research Board (DST-SERB) for financial assistance received through a start-up research grant (SRG) FILE NO. SRG/2019/000895. We would like to extend our thanks to the staff of Nanofabrication Core Lab, King Abdullah University of Science and Technology (KAUST), Saudi Arabia for providing his assistance in the project. Author HK would like to thank DST-SERB for funding project under ‘Early career research award’ (SERB/F/77662018-2019). HK would like to thank UGC-BSR for the research start-up grant [F.30-386/2017 (BSR)]. Authors are thankful to the IIT Bombay Nanofabrication facility (IITBNF) for performing XRF.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

ASJC Scopus subject areas

Horticulture
Animal Science and Zoology
Agronomy and Crop Science
Forestry
Computer Science Applications

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10.1016/j.compag.2022.107225

Cite this

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title = "Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants",

abstract = "Plant disease prediction plays a pivotal role to abate the crop loss. For this purpose, early disease prediction models have been explored, where information about leaf wetness duration (LWD) is one of the important factors. The leaf wetness duration is measured with the help of leaf wetness sensors (LWS). Here, the LWS is fabricated on the polyamide flexible substrate where graphene oxide (GO) is used as the sensing film to detect the water molecules on the leaf canopy. Fabricated GO LWS has been tested under laboratory conditions, we exposed the entire sensing film with water molecule and we observed that it offers response of about 45000 % with respect to the air. Subsequently, observed response time of the fabricated sensor is around 400 s with recovery time of about 100 s. Further, the fabricated sensor shows only 2 % change in the response when exposed to the temperature ranging from 20 0C to 65 0C. Under field conditions, to explore the efficacy of the fabricated LWS, we benchmarked the LWD measured using the GO LWS with commercial LWS (Phytos 31). We have deployed the fabricated GO LWS along with Phytos 31 on the Tulsi (Ocimum tenuiflorum) medical plant. The on-field testing of the GO LWS indicates that maximum difference in LWD value using fabricated GO LWS and Phytos 31 is around ± 30 min.",

author = "Patle, {Kamlesh S.} and Biswajit Dehingia and Hemen Kalita and Palaparthy, {Vinay S.}",

note = "KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: The authors are thankful the Department of Science and Technology - Science and Engineering Research Board (DST-SERB) for financial assistance received through a start-up research grant (SRG) FILE NO. SRG/2019/000895. We would like to extend our thanks to the staff of Nanofabrication Core Lab, King Abdullah University of Science and Technology (KAUST), Saudi Arabia for providing his assistance in the project. Author HK would like to thank DST-SERB for funding project under {\textquoteleft}Early career research award{\textquoteright} (SERB/F/77662018-2019). HK would like to thank UGC-BSR for the research start-up grant [F.30-386/2017 (BSR)]. Authors are thankful to the IIT Bombay Nanofabrication facility (IITBNF) for performing XRF. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

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month = jul,

day = "21",

doi = "10.1016/j.compag.2022.107225",

language = "English (US)",

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pages = "107225",

journal = "Computers and Electronics in Agriculture",

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T1 - Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants

AU - Patle, Kamlesh S.

AU - Dehingia, Biswajit

AU - Kalita, Hemen

AU - Palaparthy, Vinay S.

N1 - KAUST Repository Item: Exported on 2022-09-14 Acknowledgements: The authors are thankful the Department of Science and Technology - Science and Engineering Research Board (DST-SERB) for financial assistance received through a start-up research grant (SRG) FILE NO. SRG/2019/000895. We would like to extend our thanks to the staff of Nanofabrication Core Lab, King Abdullah University of Science and Technology (KAUST), Saudi Arabia for providing his assistance in the project. Author HK would like to thank DST-SERB for funding project under ‘Early career research award’ (SERB/F/77662018-2019). HK would like to thank UGC-BSR for the research start-up grant [F.30-386/2017 (BSR)]. Authors are thankful to the IIT Bombay Nanofabrication facility (IITBNF) for performing XRF. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2022/7/21

Y1 - 2022/7/21

N2 - Plant disease prediction plays a pivotal role to abate the crop loss. For this purpose, early disease prediction models have been explored, where information about leaf wetness duration (LWD) is one of the important factors. The leaf wetness duration is measured with the help of leaf wetness sensors (LWS). Here, the LWS is fabricated on the polyamide flexible substrate where graphene oxide (GO) is used as the sensing film to detect the water molecules on the leaf canopy. Fabricated GO LWS has been tested under laboratory conditions, we exposed the entire sensing film with water molecule and we observed that it offers response of about 45000 % with respect to the air. Subsequently, observed response time of the fabricated sensor is around 400 s with recovery time of about 100 s. Further, the fabricated sensor shows only 2 % change in the response when exposed to the temperature ranging from 20 0C to 65 0C. Under field conditions, to explore the efficacy of the fabricated LWS, we benchmarked the LWD measured using the GO LWS with commercial LWS (Phytos 31). We have deployed the fabricated GO LWS along with Phytos 31 on the Tulsi (Ocimum tenuiflorum) medical plant. The on-field testing of the GO LWS indicates that maximum difference in LWD value using fabricated GO LWS and Phytos 31 is around ± 30 min.

AB - Plant disease prediction plays a pivotal role to abate the crop loss. For this purpose, early disease prediction models have been explored, where information about leaf wetness duration (LWD) is one of the important factors. The leaf wetness duration is measured with the help of leaf wetness sensors (LWS). Here, the LWS is fabricated on the polyamide flexible substrate where graphene oxide (GO) is used as the sensing film to detect the water molecules on the leaf canopy. Fabricated GO LWS has been tested under laboratory conditions, we exposed the entire sensing film with water molecule and we observed that it offers response of about 45000 % with respect to the air. Subsequently, observed response time of the fabricated sensor is around 400 s with recovery time of about 100 s. Further, the fabricated sensor shows only 2 % change in the response when exposed to the temperature ranging from 20 0C to 65 0C. Under field conditions, to explore the efficacy of the fabricated LWS, we benchmarked the LWD measured using the GO LWS with commercial LWS (Phytos 31). We have deployed the fabricated GO LWS along with Phytos 31 on the Tulsi (Ocimum tenuiflorum) medical plant. The on-field testing of the GO LWS indicates that maximum difference in LWD value using fabricated GO LWS and Phytos 31 is around ± 30 min.

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U2 - 10.1016/j.compag.2022.107225

DO - 10.1016/j.compag.2022.107225

M3 - Article

SN - 0168-1699

VL - 200

SP - 107225

JO - Computers and Electronics in Agriculture

JF - Computers and Electronics in Agriculture

ER -

Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants

Abstract

Bibliographical note

ASJC Scopus subject areas

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