Fruit Quality Identification Using Deep LearningTechniques-Reference-Cited by-同舟云学术

Fruit Quality Identification Using Deep LearningTechniques

Published:2022-12-26 Issue: Volume: Page:
ISSN:
Container-title:2022 Fourth International Conference on Emerging Research in Electronics, Computer Science and Technology (ICERECT)
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Author:

S Sadhana T¹,J Anil Kumar R²,D Bhavani S²,N Santosh Kumar B³

Affiliation:

1. Mandya University,Department of Computer Science,Mandya,Karnataka,India

2. Mandya University,Department of Computer Science Government College (Autonomous),Mandya,Karnataka,India

3. Maharani's Science College for Women,Department of Computer Science,Mysuru,Karnataka,India

Publisher

IEEE

Link

Reference11 articles.

3. Automatic fruit quality detection system;lakare;International Research Journal of Engineering and Technology,2019

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1. Deep Learning Approaches for Plant Disease Management: A State-of-the-Art Analysis;2023 7th International Conference on Computation System and Information Technology for Sustainable Solutions (CSITSS);2023-11-02

2. Performance Analysis of Fruit Quality Detection Using Computer Vision and Object Detection;2023 7th International Conference On Computing, Communication, Control And Automation (ICCUBEA);2023-08-18