A Novel and Effective Ensemble Machine Learning Model for Identifying Healthy and Rotten Fruits-Reference-Cited by-同舟云学术

A Novel and Effective Ensemble Machine Learning Model for Identifying Healthy and Rotten Fruits

Published:2023-01-05 Issue: Volume: Page:
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Container-title:2023 International Conference on Artificial Intelligence and Knowledge Discovery in Concurrent Engineering (ICECONF)
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Author:

S Arun Kumar¹,L Hubert Mary.²,V. Shaamili Varsa G³,M.S Ulaganathan.⁴,Kannagi L.⁴,Bharathi P. Shyamala⁵

Affiliation:

1. Sona College of Technology,Department of Electrical and Electronics Engineering,Salem

2. Jeppiaar Institute of Technology,Department of Electronics and Communication Engineering,Chennai

3. SRM Institute of Science and Technology,Department of Electronics and Communication Engineering,Chennai

4. Sri Sai Ram Institute of Technology,Department of Computer and Communication Engineering,Chennai

5. Saveetha School of Engineering, SIMATS,Department of Electronics and Communication Engineering,Chennai

Publisher

IEEE

Link

Reference12 articles.

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1. Intelligent Fruit Quality Assessment Using CNN Transfer Learning Techniques;2024 International Conference on Distributed Computing and Optimization Techniques (ICDCOT);2024-03-15

2. Rotten and Fresh Fruits Classification using Deep Learning;2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT);2024-02-09

3. Milk Quality Prediction Using Machine Learning;EAI Endorsed Transactions on Internet of Things;2023-11-29