Exploration of Ripe Raw and Defective Tomatoes with Deep Learning Techniques-Reference-Cited by-同舟云学术

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Exploration of Ripe Raw and Defective Tomatoes with Deep Learning Techniques

Published:2023-08-23 Issue: Volume: Page:
ISSN:
Container-title:2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS)
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Author:

Vanitha C N¹,Sathyamoorthy Malathy²,Dhanaraj Rajesh Kumar³,Rai Priti⁴,V Geetha⁵,Manikantan M.⁶

Affiliation:

1. Kongu Engineering College,Science and Engineering,Department of Computer,Erode

2. KPR Institute of Engineering and Technology,Department of Information Technology,Coimbatore

3. Symbiosis International (Deemed University),Symbiosis Institute of Computer Studies and Research (SICSR),Pune,India

4. GL Bajaj Institute of Management,Greater Noida

5. REVA University,School of Applied Sciences,Department of Computer Science,Bangalore

6. Kongu Engineering College,Dept. of CT-UG,Perundurai

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10250420/10250450/10250692.pdf?arnumber=10250692

Reference15 articles.

1. Detection of tomato plant phenotyping traits using YOLOv5-based single stage detectors

2. Blockchain and machine learning for e- healthcare systems;b balusamy;Blockchain and Machine Learning for e-Healthcare Systems,2021

3. Artificial bee colony method for identifying eavesdropper in terrestrial cellular networks

4. Energy and spectrum aware unequal clustering with deep learning based primary user classification in cognitive radio sensor networks

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