Citrus Leaf Disease Classification Using VGG16 Convolutional Neural Network Architecture-Reference-Cited by-同舟云学术

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Citrus Leaf Disease Classification Using VGG16 Convolutional Neural Network Architecture

Published:2024-04-05 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
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Author:

Kaur Gurjot¹,Sharma Neha¹,Malhotra Sonal²,Devliyal Swati³,Kumar Bura Vijay⁴

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Graphic Era Hill University,Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

3. Graphic Era Deemed to be University,Computer Science & Engineering,Dehradun,Uttarakhand,248002

4. SR University,School of Computer Science and Artifical Intelligence,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10543249/10543223/10543761.pdf?arnumber=10543761

Reference21 articles.

1. Detection of citrus leaf diseases using a deep learning technique

2. Performance of deep learning vs machine learning in plant leaf disease detection

3. A Huanglongbing Detection Method for Orange Trees Based on Deep Neural Networks and Transfer Learning

4. Identification of Citrus Canker on Citrus Leaves and Fruit Surfaces in the Grove Using Deep Learning Neural Networks

5. Secure and energy-efficient smart building architecture with emerging technology IoT

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