Detecting dark spot eggs based on CNN GoogLeNet model-Reference-Cited by-同舟云学术

Detecting dark spot eggs based on CNN GoogLeNet model

Published:2021-06-09 Issue: Volume: Page:
ISSN:1022-0038
Container-title:Wireless Networks
language:en
Short-container-title:Wireless Netw

Author:

Jiang Minlan,Wu Peilun^ORCID,Li Fei

Publisher

Springer Science and Business Media LLC

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s11276-021-02673-4.pdf

Reference20 articles.

1. Zhang, M.-R., Ye, J.-S., et al. (2016). Research on effects of chicken eggshell dark spots on chicken egg storage. Food & Machinery, 32(06), 118–122.

2. Liu, Y.-Y., & Zhong, N. (2017). Research on prediction model of egg freshness based on image processing. Food & Machinery, 33(12), 103–109.

3. Wang, Q.-H., Wang, C.-Y., & Ma, M.-H. (2017). Duck eggs’ freshness detection based on machine vision technology. Journal of Chinese Institute of Food Science and Technology, 17(08), 268–274.

4. Zheng, L.-M., Yang, X., et al. (2009). Nondestructive detection of egg freshness based on computer vision. Transactions of the CSAE, 25(S2), 335–339.

5. Wang, Q.-H., Wen, Y.-X., et al. (2008). Correlation between egg freshness and morphological characteristics of light transmission image of eggs. Transactions of the CSAE, 24(03), 179–183.

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