Pre-trained VGG16 and EfficientNetB3 for Multiclass Classification of Orange Leaf Diseases-Reference-Cited by-同舟云学术

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Pre-trained VGG16 and EfficientNetB3 for Multiclass Classification of Orange Leaf Diseases

Published:2024-03-01 Issue: Volume:13 Page:1-6
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
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Author:

Kaur Arshleen¹,Kukreja Vinay¹,Thapliyal Nitin²,Aeri Manisha³,Sharma Rishabh¹,Hariharan Shanmugasundaram⁴

Affiliation:

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

2. Graphic Era Hill University,Computer Science and Engineering,Dehradun,Uttrakhand,India,248002

3. Computer Science and Engineering Graphic Era Deemed to be University,Dehradun,Uttarakhand,India

4. Vardhaman College of Engineering,Proffessor, Department of Computer Science and Engineering,Hyderabad,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10511701.pdf?arnumber=10511701

Reference23 articles.

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

2. Amalgamated convolutional long term network (CLTN) model for Lemon Citrus Canker Disease Multi-classification

3. Real-Time Detection of Apple Leaf Diseases Using Deep Learning Approach Based on Improved Convolutional Neural Networks

4. Disease Detection of Citrus Plants Using Image Processing Techniques

5. FormerLeaf: An efficient vision transformer for Cassava Leaf Disease detection

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