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郭彥甫  Yan-Fu Kuo

Professor, Department of Biomechatronics Engineering, National Taiwan University

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​Contact number: (02) 33665329

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​Email: ykuo@ntu.edu.tw

Work Experience

2020-present

Professor
Department of Biomechatronics Engineering,
National Taiwan University

2016-2020

Associate Professor
Department of Biomechatronics Engineering,
National Taiwan University

2011-2016

Assistant Professor
Department of Biomechatronics Engineering,
National Taiwan University

2003-2011

Graduate Assistant
Department of Mechanical Engineering,
Purdue University

2009

Graduate Teaching Assistant
Department of Mechanical Engineering,
Purdue University

2007-2008

Internship Researcher
HP Imaging and Printing Division

Education

2007 to 2008

Master's Degree
Department of Mechanical Engineering,
Purdue University

2011

PhD
Department of Mechanical Engineering,
Purdue University

2009

Bachelor's Degree
Department of Agricultural Mechanical Engineering,
National Taiwan University

Publications

Journal Papers

2022

2023

2021

Computers and Electronics in Agriculture,  202, 107365.

Identifying tomato leaf diseases under real field conditions using convolutional neural networks and a chatbot.

Cheng, H. H., Dai, Y. L., Lin, Y., Hsu, H. C., Lin, C. P., Huang, J. H., ...
& Kuo, Y. F.

Computers and Electronics in Agriculture,  191, 106540.

Developing a guiding and growth status monitoring system for riding-type tea plucking machine using fully convolutional networks.

Lin, Y. K., Chen, S. F., Kuo, Y. F., Liu, T. L., & Lee, S. Y.

Biosystems Engineering, 221, 224-235.

Automatic measuring shrimp body length using CNN and an underwater imaging system

Lai, P. C., Lin, H. Y., Hsu, H. C., Chu, Y. N., Liou, C. H., & Kuo, Y. F.

Ecological Informatics,  101513.

Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks.

Wu, T. Y., Yeh, K. T., Hsu, H. C., Yang, C. K., Tsai, M. J., & Kuo, Y. F.

Ecological Informatics,  101513.

Identifying Fagaceae and Lauraceae species using leaf images and convolutional neural networks.

Wu, T. Y., Yeh, K. T., Hsu, H. C., Yang, C. K., Tsai, M. J., & Kuo, Y. F.

​Conference Papers

2022

@ 2022 Commission Internationale du Génie Rural World Congress

Automatically Detecting Scale Insects Using Deep Convolutional Neural Network

Kuo, T. C., Chen, S. P., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Quantifying Virus Resistance Level of Plants Using Convolutional Neural Network

Hsieh, F. C., Lin, M. J., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Strawberry Diseases and Pests Identification Using Convolutional Neural Networks and LINE Bot

Chiu, T. W., Wu, H. Y., Lai, Q. J., Chung, P. C., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Development of Embedded System for Chicken Monitoring Using Deep Learning

Cheng, T. H., Chen, B. L., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Identifying Tomato Pests and Diseases in Fields Through LINE Bot and Deep Learning

Lin, Y., Dai, Y. L., Lin, C. P., Huang, J. H., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Early Warning System for Monitoring Chicken Using Convolutional Neural Networks

Chen, B. L., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Identifying Damaged Native Chicken Carcasses for Automatic Graded Using Deep Learning

Lai, P. C., & Kuo, Y. F.

@ 2022 Commission Internationale du Génie Rural World Congress

Designing an Autonomous Cruising Robot in Commercial Chicken Farm

Yeh, Y. H., & Kuo, Y. F.
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