Quad-Partitioning-Based Robotic Arm Guidance Based on Image Data Processing with Single Inexpensive Camera For Precisely Picking Bean Defects in Coffee Industry-Reference-Cited by-同舟云学术

Quad-Partitioning-Based Robotic Arm Guidance Based on Image Data Processing with Single Inexpensive Camera For Precisely Picking Bean Defects in Coffee Industry

Published:2019 Issue: Volume: Page:152-164
ISSN:0302-9743
Container-title:Intelligent Information and Database Systems
language:
Short-container-title:

Author:

Kuo Chen-Ju,Wang Ding-Chau,Lee Pin-Xin,Chen Tzu-Ting,Horng Gwo-Jiun,Hsu Tz-Heng,Tsai Zhi-Jing,Pai Mao-Yuan,Guo Gen-Ming,Lin Yu-Chuan,Hung Min-Hsiung,Chen Chao-Chun

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-14802-7_13

Reference7 articles.

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2. Huang, B., Li, C., Yin, C., Zhao, X.: Cloud manufacturing service platform for small- and medium-sized enterprises. Int. J. Adv. Manuf. Technol. 65(9), 1261–1272 (2013)

3. Lee, J., Bagheri, B., Kao, H.A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)

4. Lee, J., Kao, H.A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia CIRP 16, 3–8 (2014)

5. Pinto, C., Furukawa, J., Fukai, H., Tamura, S.: Classification of green coffee bean images based on defect types using convolutional neural network (CNN). In: 2017 International Conference on Advanced Informatics, Concepts, Theory, and Applications (ICAICTA), pp. 1–5, August 2017

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