Prediction of Apple Leaf Diseases Using Multiclass Support Vector Machine-Reference-Cited by-同舟云学术

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Prediction of Apple Leaf Diseases Using Multiclass Support Vector Machine

Published:2021-01-05 Issue: Volume: Page:
ISSN:
Container-title:2021 2nd International Conference on Robotics, Electrical and Signal Processing Techniques (ICREST)
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Author:

Chakraborty Soarov¹,Paul Shourav¹,Rahat-uz-Zaman Md.¹

Affiliation:

1. Khulna University of Engineering & Technology,Department of Computer Science and Engineering,Khulna,Bangladesh

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9330807/9331001/09331132.pdf?arnumber=9331132

Cited by 49 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Residual attention based multi-label learning for apple leaf disease identification;Journal of Agricultural Engineering;2024-08-20

2. Leaf Diseases Detection using Android Kotlin App with Deep Learning Algorithm;2024 5th International Conference for Emerging Technology (INCET);2024-05-24

3. Hybrid attention network for citrus disease identification;Computers and Electronics in Agriculture;2024-05

4. Black rot disease classification of apples and grapes using convolutional neural network and transfer learning;2024 8th International Conference on Image and Signal Processing and their Applications (ISPA);2024-04-21

5. Noval Approach using Image Detection to Identify Diseases in Fruit Plants (Apple);2024 IEEE 9th International Conference for Convergence in Technology (I2CT);2024-04-05

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