Smart agriculture: real‐time classification of green coffee beans by using a convolutional neural network-Reference-Cited by-同舟云学术

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Smart agriculture: real‐time classification of green coffee beans by using a convolutional neural network

Published:2020-10-13 Issue:4 Volume:2 Page:167-172
ISSN:2631-7680
Container-title:IET Smart Cities
language:en
Short-container-title:IET Smart Cities

Author:

Huang Nen‐Fu¹,Chou Dong‐Lin¹,Lee Chia‐An¹,Wu Feng‐Ping¹,Chuang An‐Chi¹,Chen Yi‐Hsien¹,Tsai Yin‐Chun¹

Affiliation:

1. Department of Computer ScienceNational Tsing Hua University HsinchuTaiwan

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institution of Engineering and Technology (IET)

Subject

General Earth and Planetary Sciences,General Environmental Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1049/iet-smc.2020.0068

Reference21 articles.

1. Oder T.: ‘How coffee changed the world’. Available athttps://www.mnn.com/food/beverages/stories/how‐coffee‐changed‐the‐world

2. Pinto C. Furukawa J. Fukai H.et al.: ‘Classification of green coffee bean images based on defect types using convolutional neural network (CNN)’.2017 Int. Conf. on Advanced Informatics Concepts Theory and Applications (ICAICTA) Bali Indonesia August2017 pp.1–5

3. Gavat I. Militaru D.: ‘Deep learning in acoustic modeling for automatic speech recognition and understanding – an overview’.2015 Int. Conf. on Speech Technology and Human‐Computer Dialogue (SpeD) Bucharest Romania October2015 pp.1–8

4. Recent Trends in Deep Learning Based Natural Language Processing [Review Article]

5. State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

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1. Defect Detection in Arabica Green Coffee Beans Based on Grade Quality;Proceedings of the 2024 10th International Conference on Computing and Artificial Intelligence;2024-04-26

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3. Arabica Coffee Bean Grading into Specialty and Commodity Type Based on Quality Using Visual Inspection;Lecture Notes in Electrical Engineering;2024

4. Application of Machine Learning to Assess the Quality of Food Products—Case Study: Coffee Bean;Applied Sciences;2023-09-28

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