DeepRiceTransfer: Exploiting CNN Transfer Learning for Effective Rice Variety Classification-Reference-Cited by-同舟云学术

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DeepRiceTransfer: Exploiting CNN Transfer Learning for Effective Rice Variety Classification

Published:2024-02-23 Issue: Volume: Page:102-107
ISSN:
Container-title:2024 International Conference on Social and Sustainable Innovations in Technology and Engineering (SASI-ITE)
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Author:

Kanaga Priya P¹,Kirupa P²,Thilakaveni P³,Nisha Devi K⁴,Mahabooba M⁵,Jayachitra S⁶

Affiliation:

1. KPR Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

2. SNS College of Engineering,Department of Computer Science and Engineering,Coimbatore,India

3. PSG Polytechnic College,Department of Computer Engineering,Coimbatore,India

4. Bannari Amman Institute of Technology,Department of Artificial Intelligence and Data Science,Erode,India

5. Nehru Institute of Engineering and Technology,Department of Computer Science and Engineering,Coimbatore,India

6. PSNA College of Engineering and Technology,Department of Electronics and Communication Engineering,Dindigul,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10606964/10606945/10606946.pdf?arnumber=10606946

Reference20 articles.

1. Determining the Rice Seeds Quality Using Convolutional Neural Network

2. Dual Phase Convolutional Neural Network Based System Aimed at Small Rice Grain Dataset for Disease Identification;Ahmed

3. Deep Learning for Rice Quality Classification

4. Classification of Rice Varieties Using Artificial Intelligence Methods

5. Machine Vision Approach for Classification of Rice Varieties Using Texture Features

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