Impact of Electrode Patterns Variation on the Response Characteristic of Leaf Wetness Sensors

Prediction of plant diseases is essential to reduce crop loss. Early disease prediction models have been investigated for this purpose, where data on leaf wetness duration (LWD) is one of the key components. Leaf wetness sensors (LWSs) are used to better understand how foliar wetness affects plant disease cycles and epidemic development. LWS can be fabricated on printed circuit boards (PCBs), where interdigitated electrode patterns are widely used. However, it is important to understand the efficacy of these patterns for in-situ measurements. For this purpose, in this work, we have fabricated three different patterns viz. circular, oval, and rectangular on the PCB and tested their efficacy during lab and field measurements. Lab measurements indicate that the circular patterned LWS offers a sensitivity of about 1600% over the dry-to-wet range, which is about 2 and 1.5 times more than oval and rectangular patterns, respectively. Besides this, circular patterned LWS offers the hysteresis of about 2%, whereas the oval and rectangular patterned LWS show about 3% and 7%, respectively. Field measurement results specify that circular patterned LWS and commercial LWS Phytos 31 indicate the same number of LWD events. However, oval and rectangular patterned LWS shows extra false events.

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Publication Details

Journal
IEEE Transactions on AgriFood Electronics
Published
2024-08-05
DOI
https://doi.org/10.1109/tafe.2024.3434309
Citations
2
Primary Topic
Analytical Chemistry and Sensors
Type
article
Field-Weighted Citation Impact
0.58

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article

Impact of Electrode Patterns Variation on the Response Characteristic of Leaf Wetness Sensors

Yash Agrawal, Gulafsha Bhatti, Vinay Palaparthy, Neha Sharma et al.
2 citations
IEEE Transactions on AgriFood Electronics
Analytical Chemistry and Sensors
0.58
article

Impact of Electrode Patterns Variation on the Response Characteristic of Leaf Wetness Sensors

Yash Agrawal, Gulafsha Bhatti, Vinay Palaparthy, Neha Sharma, Kamlesh S. Patle, Priyanka Khaparde, Harsh Varshney
article en
2 citations

Abstract

Prediction of plant diseases is essential to reduce crop loss. Early disease prediction models have been investigated for this purpose, where data on leaf wetness duration (LWD) is one of the key components. Leaf wetness sensors (LWSs) are used to better understand how foliar wetness affects plant disease cycles and epidemic development. LWS can be fabricated on printed circuit boards (PCBs), where interdigitated electrode patterns are widely used. However, it is important to understand the efficacy of these patterns for in-situ measurements. For this purpose, in this work, we have fabricated three different patterns viz. circular, oval, and rectangular on the PCB and tested their efficacy during lab and field measurements. Lab measurements indicate that the circular patterned LWS offers a sensitivity of about 1600% over the dry-to-wet range, which is about 2 and 1.5 times more than oval and rectangular patterns, respectively. Besides this, circular patterned LWS offers the hysteresis of about 2%, whereas the oval and rectangular patterned LWS show about 3% and 7%, respectively. Field measurement results specify that circular patterned LWS and commercial LWS Phytos 31 indicate the same number of LWD events. However, oval and rectangular patterned LWS shows extra false events.

IEEE Transactions on AgriFood ElectronicsVol. 2(2)
Dhirubhai Ambani University (IN)
Indian Institute of Technology Bombay
Openalex Percentile: Top 39%
Analytical Chemistry and Sensors
0.58
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Impact of Electrode Patterns Variation on the Response Characteristic of Leaf Wetness Sensors — Yash Agrawal, Gulafsha Bhatti, et al. · IEEE Transactions on AgriFood Electronics (2024) | TGRS Research Map | TGRS