Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System

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ISSN Print: 2153-1285
ISSN Online: 2153-1293
www.scirp.org/journal/cs
E-mail: cs@scirp.org

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"Monitoring the Turmeric Finger Disease and Growth Characteristics Using Sensor Based Embedded System —A Novel Method"
written by Maheswaran Shanmugam, Asokan Ramasamy, Sivaranjani Paramasivam, Priyadharshini Prabhakaran,
published by Circuits and Systems, Vol.7 No.8, 2016

has been cited by the following article(s):

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[1]	Analysis and Classification of Rhizome rot Disease for Turmeric Plant using Artificial Intelligence 2022 International Conference on Sustainable Computing and Data Communication Systems (ICSCDS), 2022 DOI:10.1109/ICSCDS53736.2022.9760884

[2]	Feature Selection Using Grey Wolf Optimization with Random Differential Grouping Computer Systems Science and Engineering, 2022 DOI:10.32604/csse.2022.020487

[3]	Machine Learning Technique to Detect Radiations in the Brain Computer Systems Science and Engineering, 2022 DOI:10.32604/csse.2022.020619

[4]	An intelligent based healthcare security monitoring schemes for detection of node replication attack in wireless sensor networks Measurement, 2021 DOI:10.1016/j.measurement.2020.108272

[5]	Detection of Replica Node Attack Based on Exponential Moving Average Model in Wireless Sensor Networks Wireless Personal Communications, 2020 DOI:10.1007/s11277-020-07648-w

[6]	Design and Testing of Flexibility Sensors to be Used in Agricultural Engineering Applications ÇOMÜ Ziraat Fakültesi Dergisi, 2020 DOI:10.33202/comuagri.726746

[7]	Smart Irrigation System using Zigbee Technology and Machine Learning Techniques 2018 International Conference on Intelligent Computing and Communication for Smart World (I2C2SW), 2018 DOI:10.1109/I2C2SW45816.2018.8997121

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