A novel measurement method for egg quality identification-Reference-Cited by-同舟云学术

A novel measurement method for egg quality identification

Published:2021-04 Issue: Volume: Page:
ISSN:2214-7853
Container-title:Materials Today: Proceedings
language:en
Short-container-title:Materials Today: Proceedings

Author:

Indirapriyadharshini J.,Sivaranjani T.,Santhosh P.

Publisher

Elsevier BV

Subject

General Medicine

Reference13 articles.

1. Yu Yao, Suo xuesong, Xiao Zhigang, Poultry Egg Body Defect Detecting and Sorting System based on Image Processing, Agriculture University of Hebei Baoding, China.

2. K. Phaninder Vinay, Krishnaveer Abhishek Challa, M. Pranay Kumar Virtual Instrumentation Technique for Detecting and Elimination of Damaged Eggs IJCST Vol. 3, Issue 2, April - June 2012.

3. United States Department of Agriculture. 1990. Egg-Grading Manual. Agriculture Handbook No.75. Agriculture Marketing Service, USDA.

4. Eggshell Defects Detection Based on Color Processing;Garcia-Alegre,1998

5. Patel, V. C., R. W. Mc Clendon and J. W. Goodrum, Color Computer Vision and Artificial Neural Networks for the Detection of Defects in Poultry Eggs,Artificial Intelligence Review (1998) 12:163-176. Khwer Academic Publishers. Printed in Netherlands.

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