Novel Plant Leaf Disease Detection Approach using Hybrid Deep Learning Strategy-Reference-Cited by-同舟云学术

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Novel Plant Leaf Disease Detection Approach using Hybrid Deep Learning Strategy

Published:2024-03-11 Issue: Volume:44 Page:266-273
ISSN:
Container-title:2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV)
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Author:

Vamshi Jalla¹,Tanwar Shashi²,Thatipudi Jayendra Gopal³,A Ponsangeetha.⁴,Mukherjee Saptarshi⁵,Mandhare Jagdish B⁶

Affiliation:

1. School of Agriculture, SR University,Warangal,Telangana,India

2. G D Goenka University,Department- Computer Science and Engineering,Gurugram,Haryana

3. University of North Texas,Dept. of Computer Science

4. Velammal Institute of Technology,Department of Computer Science and Engineering,Panchetti

5. Goldsmith Institute of Advanced Research,Department-Mtech bioinformatics GIAR,Kolkata,West Bengal

6. Bharati Vidyapeeth College of Engineering,Department of Instrumentation,Navi Mumbai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511072/10511073/10511202.pdf?arnumber=10511202

Reference15 articles.

1. An advanced deep learning models-based plant disease detection: A review of recent research

2. Blockchain-based Food Tracking for Intelligent Farming using IoT

3. A mobile-based system for maize plant leaf disease detection and classification using deep learning

4. Plant Leaf Disease Detection using Machine Learning

5. Construction of deep learning-based disease detection model in plants

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1. FuzzyShallow: A framework of deep shallow neural networks and modified tree growth optimization for agriculture land cover and fruit disease recognition from remote sensing and digital imaging;Measurement;2024-09

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