Enhancing Pakistan Rice Plant Disease Detection: A Highly Effective Pre-Trained CNN Model-Reference-Cited by-同舟云学术

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Enhancing Pakistan Rice Plant Disease Detection: A Highly Effective Pre-Trained CNN Model

Published:2023-11-17 Issue: Volume: Page:1-7
ISSN:
Container-title:2023 25th International Multitopic Conference (INMIC)
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Author:

Arshed Muhammad Asad¹,Akram Zeeshan²,Bajwa Haroon Zahid¹,Azeem Muhammad Huzaifa¹,Dawood Muhammad Ahmad¹,Riaz Faisal³

Affiliation:

1. University of Management & Technology (UMT),Department of Software Engineering,Lahore,Pakistan

2. University of Central Punjab (UCP),Department of Computer Science,Lahore,Pakistan

3. University of Management & Technology (UMT),Department of INFS,Lahore,Pakistan

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10465673/10465676/10465842.pdf?arnumber=10465842

Reference18 articles.

1. Classification of Rice Diseases using Convolutional Neural Network Models

2. Rice Diseases Recognition Using Effective Deep Learning Models

3. Using Deep Learning Techniques to Detect Rice Diseases from Images of Rice Fields

4. A real-time approach of diagnosing rice leaf disease using deep learning-based faster R-CNN framework

5. RICE PLANT DISEASE CLASSIFICATION USING TRANSFER LEARNING OF DEEP CONVOLUTION NEURAL NETWORK

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