Freshness Classification of Hog Plum Fruit Using Deep Learning-Reference-Cited by-同舟云学术

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Freshness Classification of Hog Plum Fruit Using Deep Learning

Published:2022-06-09 Issue: Volume: Page:
ISSN:
Container-title:2022 International Congress on Human-Computer Interaction, Optimization and Robotic Applications (HORA)
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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

Link

http://xplorestaging.ieee.org/ielx7/9799780/9799803/09799897.pdf?arnumber=9799897

Reference29 articles.

1. Benchmarking of deep learning algorithms for skin cancer detection based on a hybrid framework of entropy and VIKOR techniques

2. Job Descriptions Keyword Extraction using Attention based Deep Learning Models with BERT

3. A Comparative Analysis on Fruit Freshness Classification

4. A Threshold Selection Method from Gray-Level Histograms

Cited by 9 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. Fruit and Vegetable Classification and Freshness Detection using Machine learning;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

2. Deep learning hyperspectral imaging: a rapid and reliable alternative to conventional techniques in the testing of food quality and safety;Quality Assurance and Safety of Crops & Foods;2024-02-27

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

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

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

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