Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification-Reference-Cited by-同舟云学术

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Leveraging Pre-trained CNNs for Efficient Feature Extraction in Rice Leaf Disease Classification

Published:2024-03-08 Issue: Volume:4 Page:01-06
ISSN:
Container-title:2024 International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS)
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Author:

Islam Sobuj Md. Shohanur¹,Hossen Md. Imran²,Mahmud Md. Foysal³,Islam Khan Mahbub Ul¹

Affiliation:

1. Hajee Mohammad Danesh Science and Technology University,Dept. of Electrical and Electronic Engineering,Dinajpur,Bangladesh,5200

2. Hajee Mohammad Danesh Science and Technology University,Dept. of Electronic and Communication Engineering,Dinajpur,Bangladesh,5200

3. University of Asia Pacific,Dept. of Electrical and Electronic Engineering,Dhaka,Bangladesh,1205

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10499437/10499447/10499603.pdf?arnumber=10499603

Reference25 articles.

1. Nutrients deficiency diagnosis of rice crop by weighted average ensemble learning;Talukder,2023

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