Smart Seed Classification System based on MobileNetV2 Architecture-Reference-Cited by-同舟云学术

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Smart Seed Classification System based on MobileNetV2 Architecture

Published:2022-01-25 Issue: Volume: Page:
ISSN:
Container-title:2022 2nd International Conference on Computing and Information Technology (ICCIT)
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Author:

Hamid Yasir¹,Wani Sharyar²,Soomro Arjumand Bano³,Alwan Ali A.⁴,Gulzar Yonis³

Affiliation:

1. Abu Dhabi Polytechnic,Information Security and Engineering Technology,Abudhabi,UAE

2. International Islamic University Malaysia,Kulliyyah of Information and Communication Technology,Department of Computer Science,Gombak,Malaysia

3. College of Business Administration, King Faisal University,Department of Management Information Systems,Al-Ahsa,Saudi Arabia

4. School of Theoretical and Applied Science, Ramapo College of New Jersey,Mahwah,New Jersey,USA

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9711508/9711541/09711662.pdf?arnumber=9711662

Reference20 articles.

1. LWCOV: LightWeight Deep Convolutional Neural Network for COVID-19 Detection

2. Assessment of germination rate of the tomato seeds using image processing and machine learning;rozman;European Journal of Horticultural Science,2015

3. Development of Paddy Rice Seed Classification Process using Machine Learning Techniques for Automatic Grading Machine

4. A Comprehensive Survey on Transfer Learning

5. Machine learning approach for the classification of corn seed using hybrid features

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4. Exploring Transfer Learning for Enhanced Seed Classification: Pre-trained Xception Model;Lecture Notes in Civil Engineering;2024

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