Dry Bean Classification using Deep Learning-Reference-Cited by-同舟云学术

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Dry Bean Classification using Deep Learning

Published:2023-12-21 Issue: Volume:23 Page:1-4
ISSN:
Container-title:2023 International Conference on Data Science, Agents & Artificial Intelligence (ICDSAAI)
language:
Short-container-title:

Author:

Karthikeyan M.¹,Rengaraj R.²,Harini R.³

Affiliation:

1. SRM Insitute of Science & Technology Ramapuram,Electrical and Electronics Engineering,Chennai,India

2. SSN College of Engineering,Electrical and Electronics Engineering,Kalavakkam,Tamil Nadu,India

3. Velammal Engineering College,Electrical and Electronics Engineering,Chennai,Tamil Nadu,India

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10452407/10452427/10452460.pdf?arnumber=10452460

Reference18 articles.

1. Household consumption and demand for bean in Uganda;Larochelle;Determinants and implications for nutrition security,2016

2. Faba bean

3. Physical and Mechanical Properties of Selected Common Beans (Phaseolus vulgaris L.) Cultivated in Tanzania

4. Research Progress in Imaging Technology for Assessing Quality in Wine Grapes and Seeds

5. Imaging Spectroscopy and Machine Learning for Intelligent Determination of Potato and Sweet Potato Quality

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