CNN Comparative Study for Apple Quality Classification-Reference-Cited by-同舟云学术

CNN Comparative Study for Apple Quality Classification

Published:2022-10-21 Issue: Volume: Page:
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Container-title:2022 IEEE 12th International Conference on Control System, Computing and Engineering (ICCSCE)
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Author:

Ibrahim Muhammad Syafiq¹,Hamid Shabinar Abdul¹,Muhammad Zuraida¹,Leh Nor Adni Mat¹,Abdullah Samihah¹,Bakar Siti Juliana Abu¹,Osman Muhammad Khusairi¹,Fadhlullah Solahuddin Yusuf²

Affiliation:

1. Universiti Teknologi MARA,Centre for Electrical Engineering Studies,Penang,Malaysia

2. School of Engineering and Technology, INTI International College,Penang,Malaysia

Funder

Universiti Teknologi MARA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9935572/9935579/09935652.pdf?arnumber=9935652

Reference20 articles.

1. Real Time Riped Fruit Detection using Faster R-CNN Deep Neural Network Models;sudha;1 st IEEE International Conference on Smart Technologies and Systems for Next Generation Computing ICSTSN 2022,0

2. Image Processing Technology in Agriculture

3. A Review on Image Processing Applications in Medical Field

4. Ocean Pollution Detection using Image Processing

5. Face Detection and Recognition System using Digital Image Processing

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1. Fruit (Orange) Quality Inspection using Fully Convolutional Network;2024 MIT Art, Design and Technology School of Computing International Conference (MITADTSoCiCon);2024-04-25

2. CNN-Based QR Code Reading of Package for Unmanned Aerial Vehicle;Sensors;2023-05-12