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

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...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Thi Thu Em Vo, Hyeyoung Ko, Jun-Ho Huh, Yonghoon Kim
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	smart aquaculture artificial intelligent machine learning AI application Electronics TK7800-8360
Acceso en línea:	https://doaj.org/article/b82ab98295b34fae8a6ff44f07ef2303
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

id	oai:doaj.org-article:b82ab98295b34fae8a6ff44f07ef2303
record_format	dspace
spelling	oai:doaj.org-article:b82ab98295b34fae8a6ff44f07ef23032021-11-25T17:25:35ZOverview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision10.3390/electronics102228822079-9292https://doaj.org/article/b82ab98295b34fae8a6ff44f07ef23032021-11-01T00:00:00Zhttps://www.mdpi.com/2079-9292/10/22/2882https://doaj.org/toc/2079-9292Smart 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.Thi Thu Em VoHyeyoung KoJun-Ho HuhYonghoon KimMDPI AGarticlesmart aquacultureartificial intelligentmachine learningAIapplicationElectronicsTK7800-8360ENElectronics, Vol 10, Iss 2882, p 2882 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	smart aquaculture artificial intelligent machine learning AI application Electronics TK7800-8360
spellingShingle	smart aquaculture artificial intelligent machine learning AI application Electronics TK7800-8360 Thi Thu Em Vo Hyeyoung Ko Jun-Ho Huh Yonghoon Kim Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
description	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.
format	article
author	Thi Thu Em Vo Hyeyoung Ko Jun-Ho Huh Yonghoon Kim
author_facet	Thi Thu Em Vo Hyeyoung Ko Jun-Ho Huh Yonghoon Kim
author_sort	Thi Thu Em Vo
title	Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
title_short	Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
title_full	Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
title_fullStr	Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
title_full_unstemmed	Overview of Smart Aquaculture System: Focusing on Applications of Machine Learning and Computer Vision
title_sort	overview of smart aquaculture system: focusing on applications of machine learning and computer vision
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/b82ab98295b34fae8a6ff44f07ef2303
work_keys_str_mv	AT thithuemvo overviewofsmartaquaculturesystemfocusingonapplicationsofmachinelearningandcomputervision AT hyeyoungko overviewofsmartaquaculturesystemfocusingonapplicationsofmachinelearningandcomputervision AT junhohuh overviewofsmartaquaculturesystemfocusingonapplicationsofmachinelearningandcomputervision AT yonghoonkim overviewofsmartaquaculturesystemfocusingonapplicationsofmachinelearningandcomputervision
_version_	1718412371258507264

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

Ejemplares similares