Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision

Electronics

Thi Thu Em Vo¹  Yonghoon Kim²  Jun-Ho Huh³  Hyeyoung Ko⁴ 

[1] Department of Computer Education, Teachers College, Sara Campus, Jeju National University, 61 Iljudong-ro, Jeju-si 63294, Korea;Department of Computer Software Engineering, Silla University, Busan 46958, Korea;Department of Data Science, (National) Korea Maritime and Ocean University, 727 Taejong-ro, Busan 49112, Korea;Department of Digital Media Design and Applications, Seoul Women’s University, Seoul 01797, Korea;

关键词: smart aquaculture;    artificial intelligent;    machine learning;    AI;    application;   

DOI  :  10.3390/electronics10222882

来源: DOAJ

【 摘 要 】

Smart aquaculture is nowadays one of the sustainable development trends for the aquaculture industry in intelligence and automation. Modern intelligent technologies have brought huge benefits to many fields including aquaculture to reduce labor, enhance aquaculture production, and be friendly to the environment. Machine learning is a subdivision of artificial intelligence (AI) by using trained algorithm models to recognize and learn traits from the data it watches. To date, there are several studies about applications of machine learning for smart aquaculture including measuring size, weight, grading, disease detection, and species classification. This review provides and overview of the development of smart aquaculture and intelligent technology. We summarized and collected 100 articles about machine learning in smart aquaculture from nearly 10 years about the methodology, results as well as the recent technology that should be used for development of smart aquaculture. We hope that this review will give readers interested in this field useful information.

【 授权许可】

Unknown