Research on Tea Disease Model Based on Improved ResNet34 and Transfer Learning-Reference-Cited by-同舟云学术

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Research on Tea Disease Model Based on Improved ResNet34 and Transfer Learning

Published:2024-04-12 Issue: Volume:35 Page:27-34
ISSN:
Container-title:2024 International Conference on Intelligent Computing and Robotics (ICICR)
language:
Short-container-title:

Author:

Ye Rong¹,He Yun²,Gao Quan³,Gao Yanjun²,Shao Guoqi³,Li Tong³

Affiliation:

1. Yunnan Agricultural University,College of Food Science and Technology,Kunming,China,650201

2. Yunnan Agricultural University,College of Big Data,Kunming,China,650201

3. The Key Laboratory for Crop Production and Smart Agriculture of Yunnan Province,Kunming,China,650201

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10659746/10659754/10659799.pdf?arnumber=10659799

Reference31 articles.

1. High-performance deep transfer learning model with batch normalization based on multiscale feature fusion for tomato plant disease identification and categorization

2. A novel ensemble learning method for crop leaf disease recognition

3. Identification of apple leaf disease via novel attention mechanism based convolutional neural network

4. A survey on deep learning for big data

5. Tomato crop disease classification using pre-trained deep learning algorithm

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