Fractional Derivative Based TVD Smoothening and Baseline Correction for Extracting Leaf Wetness Duration From LW Sensor: A Novel Approach-Reference-Cited by-同舟云学术

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Fractional Derivative Based TVD Smoothening and Baseline Correction for Extracting Leaf Wetness Duration From LW Sensor: A Novel Approach

Published:2023-12 Issue:12 Volume:7 Page:1-4
ISSN:2475-1472
Container-title:IEEE Sensors Letters
language:
Short-container-title:IEEE Sens. Lett.

Author:

Gupta Samaksh¹^ORCID,Agrawal Yash¹^ORCID,Roy Anil K.²^ORCID,Kumar Ahlad³^ORCID,Palaparthy Vinay S.¹^ORCID

Affiliation:

1. System Design Lab, Department of Information and Communication Technology, DAIICT, Gandhinagar, India

2. Smart City Lab, Department of Information and Communication Technology, DAIICT, Gandhinagar, India

3. School of Cyber Security and Digital Forensics, National Forensic Sciences University, Gandhinagar, India

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/7782634/10312795/10330021.pdf?arnumber=10330021

Reference16 articles.

1. Smart Irrigation System for Precision Agriculture—The AREThOU5A IoT Platform

2. Field Evaluation of Smart Sensor System for Plant Disease Prediction Using LSTM Network

3. Baseline correction using asymmetrically reweighted penalized least squares smoothing

4. Soil Sensors-Based Prediction System for Plant Diseases Using Exploratory Data Analysis and Machine Learning

5. IoT Enabled, Leaf Wetness Sensor on the Flexible Substrates for In-Situ Plant Disease Management

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