Enhanced Multiclassification of Avocado Leaf Diseases: CNN and Random Forest Integration-Reference-Cited by-同舟云学术

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Enhanced Multiclassification of Avocado Leaf Diseases: CNN and Random Forest Integration

Published:2024-03-01 Issue: Volume: Page:1-6
ISSN:
Container-title:2024 3rd International Conference for Innovation in Technology (INOCON)
language:
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Author:

Mir Taifa Ayoub¹,Gupta Sheifali¹,Chauhan Rahul²,Singh Mukesh³,Banerjee Deepak¹,Kumar Bura Vijay⁴

Affiliation:

1. Chitkara University,Chitkara University Institute of Engineering and Technology,Punjab,India

2. Graphic Era Hill University,Dehradun,Uttarakhand,India

3. Graphic Era Deemed to be University,Dehradun,Uttarakhand,India

4. SR University,School of Computer Science and Artificial Intelligence,Warangal,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10511271/10511093/10512211.pdf?arnumber=10512211

Reference17 articles.

1. Avocado fruit disease detection and classification using modified SCA–PSO algorithm-based MobileNetV2 convolutional neural network

2. Machine learning algorithm for Avocado image segmentation based on quantum enhancement and Random forest

3. Leaf disease detection using machine learning and deep learning: Review and challenges

4. A review of neural networks in plant disease detection using hyperspectral data

5. Plant Biotic Disease Identification and Classification Based on Leaf Image: A Review

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