Synergistic Detection: A Hybrid CNN-XGBoost Model for Cherry Leaf Spot Magnitude Differentiation-Reference-Cited by-同舟云学术

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Synergistic Detection: A Hybrid CNN-XGBoost Model for Cherry Leaf Spot Magnitude Differentiation

Published:2024-02-21 Issue: Volume:7 Page:1-6
ISSN:
Container-title:2024 4th International Conference on Innovative Practices in Technology and Management (ICIPTM)
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Author:

Banerjee Deepak¹,Sharma Neha²,Chauhan Rahul³,Singh Mukesh⁴,Kumar Bura Vijay⁵

Affiliation:

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

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

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

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

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10562381/10563197/10563626.pdf?arnumber=10563626

Reference17 articles.

1. Identification of Cherry Leaf Disease Infected by Podosphaera Pannosa via Convolutional Neural Network

2. Plant leaf disease detection and classification using modified transfer learning models

3. CDID: Cherry Disease Identification Using Deep Convolutional Neural Network

4. Detection and Characterization of Stressed Sweet Cherry Tissues Using Machine Learning

5. Four Fold Prolonged Residual Network (FFPRN) Based Super Resolution for Cherry Plant Leaf Disease Detection

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