Main menu-eng

 

 

Chung-Cheng Chang

 

 

Project Name

Applying artificial intelligence (AI) techniques to implement a practical Smart Cage Aquaculture Management System

 

Project Intro

    The present research project aims to apply state-of-the-art artificial intelligence (AI) techniques to implement a practical Smart Cage Aquaculture Management System (SCAMS) useful for minimizing the cost of farming and maximizing the harvesting, and to further facilitate our country establishing a near-shore aquaculture industry of world-class competitiveness. Economic benefits of SCAMS include: to trigger the transformation of Taiwan's fishery, enabling fishermen to obtain real-time information for achieving the best aquaculture performance, as well as promoting Taiwan's current saturated fishing production. In addition, an AI farming services company will be established upon the completion of this project to provide fishermen with various technical services. R&D personnel concerning this project includes: an AI team, an automation team and an aquaculture team, all members of which are experienced scholars associated with NTOU (National Taiwan Ocean University), the aforesaid three teams will be joined by related enterprises such as the Taiwan-headquartered shrimp feed and farming giant Grobest group. NTOU also owns the oldest farming department in Taiwan and the various advanced research centers, Grobest group has both near-shore and offshore aquaculture experiences and skilled professional team, all these advantages make us superior over other competitors in completing the proposed research project.

    This four-year project is planned to accomplish the following two tasks: (1) to apply state-of-the-art AI techniques to the construction of an optimal aquaculture model, which is characterized by five sub-systems: Smart Feeding, Smart Image Behavior Monitoring and Analysis, Smart ROV, Smart Drone, and Big Data Analysis, the first four sub-systems collect data in real-time through various types of sensing components, these data will be uploaded to NTOU Cloud center and selectively labeled by the aquaculture team for the subsequent AI training at NCHC (National center for High-performance Computing) using state-of-the-art machine learning methods (e.g. deep learning) (2) enabling users to use mobile devices for monitoring the status of cages in real-time, herein an IoT architecture will be employed to integrate the Big Data for realizing the abovementioned practical benefits of intelligent cage aquaculture.

 

Project Host

 

Principal Investigator 

Chung-Cheng Chang,  Professor

EE Dept, NTOU

 

Co-Principal Investigator 

Jung-Hua Wang, Professor

EE Dept, NTOU

 

Jenq-Lang Wu, Professor

EE Dept, NTOU

 

Tzong-Dar Wu, Assistant professor

EE Dept, NTOU

 

Yi-Zeng Hsieh, Assistant professor

EE Dept, NTOU

 

Shyi-Chy Cheng, Professor

Computer Eng. Dept, NTOU

  

Chin-Chun Chang, Associate Professor

Computer Eng. Dept, NTOU

 

Jih-Gau Juang, Professor

CNCE Dept, NTOU

 

Yii-Shing Huang, Associate Professor

Aquaculture Dept, NTOU

 

 Chyng-Hwa Liou, Associate Professor

Aquaculture Dept, NTOU

 

Cheng-Ting Huang, Assistant Professor

Aquaculture Dept, NTOU

 

Te-Hua Hsu Ph.D, Research Assistant

Center of Excellence for the Oceans, NTOU 

 

Website To Link

Lab:140.121.135.142:8000

 

Host's Public Contact Method

Tel:(02)24622192#6209、1170

E-mail:This email address is being protected from spambots. You need JavaScript enabled to view it.

 

Representative Pictures Of The Research

 


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計畫補助單位:科技部
70101 台南市東區大學路1號 成功校區 資訊工程系 舊館1樓4220辦公室
No.4220, CSIE Dept (old building), No.1, University Road, Tainan City 701, Taiwan (R.O.C)

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