MangoSpot: A Hybrid CNN-SVM Model for Multi-Classification of Mango Leaf Spot Disease Based on Seriousness Levels-Reference-Cited by-同舟云学术

MangoSpot: A Hybrid CNN-SVM Model for Multi-Classification of Mango Leaf Spot Disease Based on Seriousness Levels

Published:2023-06-23 Issue: Volume: Page:
ISSN:
Container-title:2023 3rd International Conference on Intelligent Technologies (CONIT)
language:
Short-container-title:

Author:

Baresary Devdutt¹,Saini Anuradha²,Sharma Ravi Kumar³,Bordoloi Dibyahash⁴,Sharma Rishabh⁵,Kukreja Vinay⁵

Affiliation:

1. Lovely Professional University,Depatment of Computer Science and Engineering,Phagwara,Punjab,India

2. Chandigarh Group of Colleges, Landran,Department of Computer Applications

3. M.M Institute of Computer Technology & Business Management, Mullana,Ambala,Haryana

4. Graphic Era Hill University,Computer Science and Engineering,Dehradun

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

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10205372/10205375/10205376.pdf?arnumber=10205376

Reference17 articles.

1. Quality assurance of component based software systems;sharma;2016 3rd International Conference on Computing for Sustainable Global Development (INDIACom),2016

2. SVM-based detection of tomato leaves diseases;mokhtar;Intelligent Systems’ 2014 Proceedings of the 7th IEEE International Conference Intelligent Systems,2014

3. An Enhanced Framework for Data Protection in Cloud Environment using ECL-GWO Technique;kumar;2023 International Conference on Innovative Data Communication Technologies and Application (ICIDCA),2023

4. 1H NMR and PCA-based analysis revealed variety dependent changes in phenolic contents of apple fruit after drying

5. Image Classification of Rice Leaf Diseases Using Random Forest Algorithm