A CNN and TF Techniques Development for Efficient Identification of Floral Recognition-Reference-Cited by-同舟云学术

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A CNN and TF Techniques Development for Efficient Identification of Floral Recognition

Published:2024-02-09 Issue: Volume:17 Page:327-332
ISSN:
Container-title:2024 IEEE International Conference on Computing, Power and Communication Technologies (IC2PCT)
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Author:

Prasad M.¹,Lakshmi K. Ajita²,Pbv Raja Rao¹,Prasanthi B V³,Sree Pokkuluri Kiran¹,Babu V. Rajesh¹,Das G. Sudheer⁴

Affiliation:

1. Shri Vishnu Engineering College for Women(A),Department of CSE,Bhimavaram,India

2. Shri Vishnu Engineering College for Women(A),Department of ECE,Bhimavaram,India

3. Vishnu Institute of Techonolgy(A),Department of CSE,Bhimavaram,India

4. Smt. B. Seetha Polytechnic,Department of CME,Bhimavaram,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10486056/10486063/10486528.pdf?arnumber=10486528

Reference22 articles.

1. Automated Flower Species Identification by Using Deep Convolution Neural Network

2. Flower Recognition using Deep Convolutional Neural Networks

3. FLOWER RECOGNITION

4. Automated Flower Species Detection and Recognition from Digital Images;Albadarneh;IJCSNS International Journal of Computer Science and Network Security,2017

5. A Flower Recognition System Based On Image Processing And Neural Networks;Almogdady;International Journal of Scientific & Technology Research,2018

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