Applying Artificial Intelligence (AI) Techniques to Implement a Practical Smart Cage Aquaculture Management System

• DOI: 10.1007/s40846-021-00621-3
• Publication Date: 2021-09-01T03:37:34Z
• Authors: Chung-Cheng Chang; Jung-Hua Wang; Jenq-Lang Wu; Yi-Zeng Hsieh; Tzong-Dar Wu; Shyi-Chy Cheng; Chin-Chun Chang; Jih-Gau Juang; Chyng-Hwa Liou; Te-Hua Hsu; Yii-Shing Huang; Cheng-Ting Huang; Chen-Chou Lin; Yan-Tsung Peng; Ren-Jie Huang; Jia-Yao Jhang; Yen-Hsiang Liao; Chin-Yang Lin
• Keywords: Cage

Abstract Purpose This paper presents our team’s results to establish an AIoT smart cage culture management system. Methods According the built system, farmed field information is transmitted data platform of Ocean Cloud, and all collected analysis can be applied after bigdata analysis. Results system successfully integrates AI IoT technologies in culture. Using underwater biological images feeding as examples, this explains how into a feasible framework that constantly acquire about health status fish, survival rate well feed residuals. Conclusion The research enable aquaculture operators or owners efficiently reduce residual, monitor growth increase fish rate, thereby increasing conversion rate.