A Systematic Analysis of Deep Learning and Machine Learning Methods for Identifying Apple Leaf Disease-Reference-Cited by-同舟云学术

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A Systematic Analysis of Deep Learning and Machine Learning Methods for Identifying Apple Leaf Disease

Published:2023-07-06 Issue: Volume: Page:
ISSN:
Container-title:2023 4th International Conference on Electronics and Sustainable Communication Systems (ICESC)
language:
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Author:

Rani Bajjuri Usha¹,Pavani Kamisetti²,Bhavani Samineni³,Alapati Gopinadh⁴

Affiliation:

1. Lakireddy Bali Reddy College of Engineering (A),Dept. of CSE,Mylavaram,India

2. G Narayanamma Institute of Technology and Science,Dept. of CSE,Telangana,India

3. RGUKT,Dept. of CSE,Nuzvid,India

4. Baptla Engineering College,Dept. of CSE,Bapatla,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10192573/10192581/10192948.pdf?arnumber=10192948

Reference18 articles.

1. Comparative Analysis of Machine Learning Algorithms for Disease Detection in Apple Leaves

2. CNN-LSTM Learning Approach for Classification of Foliar Disease of Apple

3. MCFFA-Net: Multi-Contextual Feature Fusion and Attention Guided Network for Apple Foliar Disease Classification

4. Image-based Apple Disease Detection Based on Residual Neural Network and Transfer Learning

5. Classification of Various Diseases Affecting Apple, Cherry, and Peach Plants using Modified VGGNet19 Architecture

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