Repository logo
Collections
Browse
Statistics
  • English
  • हिंदी
Log In
New user? Click here to register.Have you forgotten your password?
  1. Home
  2. Publications
  3. Journal Article
  4. Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants

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

Date

01-09-2022

Authors

SPatle, Kamlesh
Dehingia, Biswajit
Kalita, Hemen
Palaparthy, VinayORCID 0000-0002-8867-5285

Journal Title

Journal ISSN

Volume Title

Publisher

Elsevier

Research Projects

Organizational Units

Journal Issue

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.

Description

Keywords

Citation

Kamlesh S.Patle, Biswajit Dehingia, Hemen Kalita, and Palaparthy, Vinay S, "Highly sensitive graphene oxide leaf wetness sensor for disease supervision on medicinal plants," Computers and Electronics in Agriculture, Elsevier, vol. 200, ISSN: 0168-1699, pp. 107225, Sep. 2022 doi: 10.1016/j.compag.2022.107225.

URI

https://ir.daiict.ac.in/handle/dau.ir/1999

Collections

Journal Article

Endorsement

Review

Supplemented By

Referenced By

Full item page

Research Impact

Metrics powered by PlumX, Altmetric and Dimensions

 
Quick Links
  • Home
  • Search
  • Research Overview
  • About
Contact

DAU, Gandhinagar, India

library@dau.ac.in

+91 0796-8261-578

Follow Us

© 2025 Dhirubhai Ambani University
Designed by Library Team