Deep Learning for Precise Rice Multi-Class Classification:Unveiling the Potential of CNNs-Reference-Cited by-同舟云学术

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Deep Learning for Precise Rice Multi-Class Classification:Unveiling the Potential of CNNs

Published:2024-04-18 Issue: Volume: Page:1-5
ISSN:
Container-title:2024 International Conference on E-mobility, Power Control and Smart Systems (ICEMPS)
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Author:

Rajora Ricky¹,Gupta Himakshi²,Malhotra Sonal³,Devliyal Swati⁴,Sunil G⁵

Affiliation:

1. Chitkara University Institute of Engineering and Technology, Chitkara University,Punjab,India

2. Indian Institute of Technology,Mandi,Himachal Pradesh,India

3. Graphic Era Hill University,Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

4. Graphic Era Deemed to be University,Computer Science & Engineering,Dehradun,Uttarakhand,India,248002

5. School of Computer Science & Artificial Intelligence, SR University,Warangal

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10559243/10559244/10559367.pdf?arnumber=10559367

Reference15 articles.

1. Deep Learning for Rice Quality Classification

2. Detection and Classification of Paddy Leaf Diseases Using Deep Learning (CNN)

3. Development of image recognition software based on artificial intelligence algorithm for the efficient sorting of apple fruit

4. Deep CNN-based damage classification of milled rice grains using a high-magnification image dataset

5. RiceNet: A deep convolutional neural network approach for classification of rice varieties

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