Exploring the Performance of VGG16 and Efficient Net Models for Plant Disease Classification: A Comparative Approach-Reference-Cited by-同舟云学术

Exploring the Performance of VGG16 and Efficient Net Models for Plant Disease Classification: A Comparative Approach

Published:2023-09-28 Issue: Volume:182 Page:1-6
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Container-title:2023 First International Conference on Cyber Physical Systems, Power Electronics and Electric Vehicles (ICPEEV)
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Author:

Sahithi Boyapati¹,Vigneshwari S.¹

Affiliation:

1. Sathyabama Institute of Science and Technology,Department of Computer Science and Engineering,Chennai,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10391848/10391833/10391936.pdf?arnumber=10391936

Reference13 articles.

1. Identification of plant leaf diseases by deep learning based on channel attention and channel pruning;Dhaka;Computers and Electronics in Agriculture,2022

2. A deep learning approach for grapevine yellows detection;Cruz;Sensors,2022

3. A novel crop disease model based on ECA attention mechanism and transfer learning;Gao;Plant Pathology,2021

4. Plant disease identification using maize, tomato, and eggplant images with GoogLeNet;Li,2020

5. A robust plant disease detection system based on deep learning and transfer learning;Pan;Computers and Electronics in Agriculture,2022

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