Rice quality Prediction using Convolution Neural Network-Reference-Cited by-同舟云学术

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Rice quality Prediction using Convolution Neural Network

Published:2023-04-29 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Distributed Computing and Electrical Circuits and Electronics (ICDCECE)
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Author:

Rekha V.¹,Shiny R. M.²,Ramya J.³,Sakthivel B.⁴,Pratheep V. G.⁵,Kumar Ashok⁶

Affiliation:

1. AgurchandManmull Jain College,Department of Bachelors's in Computer Application,Chennai,India

2. Velammal Institute of Technology,Department of Artificial Intelligence and Data Science,Thiruvallur,India

3. St. Joseph's College of Engineering,Department of Computer Science Engineering,Chennai,India

4. Vivekanandha College of Engineering for Women,Department of Electronics and Communication Engineering,Tamakkal,India

5. Kongu Engineering College,Department of Mechatronics Engineering,Perundurai,India

6. Banasthali Vidyapith,Department of Computer Science,Banasthali,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10150430/10150434/10151208.pdf?arnumber=10151208

Reference15 articles.

1. IDENTIFICATION OF RICE PURITY LEVEL FROM MIXED RICE VARIETIES USING DEEP LEARNING

2. Human Action Recognition Based on MOCAP Information Using Convolution Neural Networks

3. Computer Vision and Machine Learning Analysis of Commercial Rice Grains: A Potential Digital Approach for Consumer Perception Studies

4. Classification of rice varieties with deep learning methods

5. Comparison of boost and interleaved boost converters for wind energy system;Ramesh;Int J Sci Eng Res,2014

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