Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification-Reference-Cited by-同舟云学术

Enhancing Mango Fruit Disease Severity Assessment with CNN and SVM-Based Classification

Published:2023-04-07 Issue: Volume: Page:
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Container-title:2023 IEEE 8th International Conference for Convergence in Technology (I2CT)
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Author:

Banerjee Deepak¹,Kukreja Vinay¹,Hariharan Shanmugasundaram²,Jain Vishal³

Affiliation:

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

2. Vardhaman College of Engineering,Department of Computer Science and Engineering,Hyderabad,India

3. Sharda University,Sharda School of Engineering and Technology,Department of Computer Science and Engineering,Greater Noida,UP,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10126131/10126116/10126397.pdf?arnumber=10126397

Reference19 articles.

1. A Review on Mango Leaf Diseases Identification using Convolution Neural Network;maheshwari;International Journal of Scientific Research and Engineering Trends,2020

2. Mango leaf disease identification and classification using a CNN architecture optimized by crossover-based levy flight distribution algorithm

3. Deep Learning Models for Image Classification: Comparison and Applications

4. Machine Learning based Classification of Diseased Mango Leaves

5. Deep Learning and Computer Vision based Model for Detection of Diseased Mango Leaves;balasundaram;Int J Recent Innov Trends Comput Commun,2022

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