Understanding the Influence of Film Thickness on rGO-Based Flexible Capacitive Leaf Wetness Sensors for In<i>-</i>Situ Agriculture Applications

Integrated plant disease management is pivotal in abating crop loss. For this purpose, leaf wetness sensors (LWS) are widely used to measure the leaf wetness duration (LWD). This work focuses on fabricating the LWS on flexible polyimide substrates and understanding its sensor transfer characteristics using reduced graphene oxide (rGO) as the sensing film with varying thickness. For this purpose, three different concentrations, viz, 0.001 mg (Device A), 1 mg (Device B), and 10 mg (Device C) of rGO are dispersed in 0.5 ml deionized (DI) water, and these are drop-casted on the fabricated LWS. Subsequently, sensor properties such as response, recovery/recovery time, hysteresis, and temperature effects are studied. Initial laboratory readings demonstrate that the fabricated LWS response for devices A, B, and C is 607866 %, 6541 %, and 780 %, sensing area wetness, respectively. Further, the response times for devices A, B, and C are 10 s, 15 s, and 6 s, respectively. Interestingly, the recovery times of devices A, B, and C are approximately 15 s, 16 s, and 2462 s, respectively. Further, it has been observed that over the temperature range of 30 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C to 60 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C, the sensor response changes by 2 %, 5 %, and 17 % for devices A, B, and C, respectively.

Authors

Institutions

Publication Details

Journal
IEEE Sensors Letters
Published
2025-05-05
DOI
https://doi.org/10.1109/lsens.2025.3567147
Citations
2
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
1.47
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Understanding the Influence of Film Thickness on rGO-Based Flexible Capacitive Leaf Wetness Sensors for In-Situ Agriculture Applications

Kusum Kumari, Hitesh Borkar, Rohit Yadav, Anil Roy et al.
2 citations
IEEE Sensors Letters
Analytical Chemistry and Sensors
1.47
article

Understanding the Influence of Film Thickness on rGO-Based Flexible Capacitive Leaf Wetness Sensors for In-Situ Agriculture Applications

Kusum Kumari, Hitesh Borkar, Rohit Yadav, Anil Roy, Vinay S. Palaparthy, Pooja Yogi
article en
2 citations

Abstract

Integrated plant disease management is pivotal in abating crop loss. For this purpose, leaf wetness sensors (LWS) are widely used to measure the leaf wetness duration (LWD). This work focuses on fabricating the LWS on flexible polyimide substrates and understanding its sensor transfer characteristics using reduced graphene oxide (rGO) as the sensing film with varying thickness. For this purpose, three different concentrations, viz, 0.001 mg (Device A), 1 mg (Device B), and 10 mg (Device C) of rGO are dispersed in 0.5 ml deionized (DI) water, and these are drop-casted on the fabricated LWS. Subsequently, sensor properties such as response, recovery/recovery time, hysteresis, and temperature effects are studied. Initial laboratory readings demonstrate that the fabricated LWS response for devices A, B, and C is 607866 %, 6541 %, and 780 %, sensing area wetness, respectively. Further, the response times for devices A, B, and C are 10 s, 15 s, and 6 s, respectively. Interestingly, the recovery times of devices A, B, and C are approximately 15 s, 16 s, and 2462 s, respectively. Further, it has been observed that over the temperature range of 30 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C to 60 <inline-formula xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink"><tex-math notation="LaTeX">$^{\circ }$</tex-math></inline-formula>C, the sensor response changes by 2 %, 5 %, and 17 % for devices A, B, and C, respectively.

IEEE Sensors LettersVol. 9(7)
National Institute of Technology Warangal (IN), Dhirubhai Ambani University (IN)
Zero hunger
Openalex Percentile: Top 20%
Analytical Chemistry and Sensors
1.47
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.