Transfer Learning for Accurate and Efficient Tomato Plant Disease Classification Using Leaf Images-Reference-Cited by-同舟云学术

Transfer Learning for Accurate and Efficient Tomato Plant Disease Classification Using Leaf Images

Published:2021-09-12 Issue: Volume: Page:
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Container-title:2021 IEEE 16th International Conference on Industrial and Information Systems (ICIIS)
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Author:

Chamli Deshan L.A.,Hans Thisanke M.K.,Herath Damayanthi

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9660619/9660632/09660681.pdf?arnumber=9660681

Reference44 articles.

1. ImageNet Large Scale Visual Recognition Challenge

2. An open access repository of images on plant health to enable the development of mobile disease diagnostics;hughes;arXiv preprint arXiv 1511,2015

3. Deep Learning for Tomato Diseases: Classification and Symptoms Visualization

4. Three-channel convolutional neural networks for vegetable leaf disease recognition

5. A deep learning-based approach for banana leaf diseases classification;amara;Datenbanksysteme fr Business Technologie und Web (BTW 2017)-Workshopband,2017

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