Freshness Classification of Hog Plum Fruit Using Deep Learning

Author:

R Arunachalaeshwaran V1,Mahdi Hussain Falih2,Choudhury Tanupriya1,Sarkar Tanmay3,Bhuyan Bikram Pratim1

Affiliation:

1. University of Petroleum and Energy Studies (UPES),Informatics Cluster, School of Computer Science,Dehradun,Uttarakhand,India,248007

2. University of Diyala,Department of Computer and Software Engineering,Baquba,Iraq

3. Malda Polytechnic,Department of Food Processing,Malda,West Bengal,India,732102

Publisher

IEEE

Cited by 7 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Fruits Freshness Recognition System by Manipulating Versatile Neural Networks;2023 International Conference on Circuit Power and Computing Technologies (ICCPCT);2023-08-10

2. Automatic Fruits Freshness Classification Using CNN and Transfer Learning;Applied Sciences;2023-07-11

3. CNN-Based Freshness Grading of Mourala Fish (Amblypharyngodon Mola);Intelligent Sustainable Systems;2023

4. Image Analysis Aided Freshness Classification of Pool Barb Fish (Puntius sophore);Emerging Trends in Expert Applications and Security;2023

5. Chicken Quality Evaluation Using Deep Learning;Emerging Trends in Expert Applications and Security;2023

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