Cargando…

Intelligent fish farm—the future of aquaculture

With the continuous expansion of aquaculture scale and density, contemporary aquaculture methods have been forced to overproduce resulting in the accelerated imbalance rate of water environment, the frequent occurrence of fish diseases, and the decline of aquatic product quality. Moreover, due to th...

Descripción completa

Detalles Bibliográficos
Autores principales: Wang, Cong, Li, Zhen, Wang, Tan, Xu, Xianbao, Zhang, Xiaoshuan, Li, Daoliang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer International Publishing 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435764/
https://www.ncbi.nlm.nih.gov/pubmed/34539102
http://dx.doi.org/10.1007/s10499-021-00773-8
_version_ 1783751866593574912
author Wang, Cong
Li, Zhen
Wang, Tan
Xu, Xianbao
Zhang, Xiaoshuan
Li, Daoliang
author_facet Wang, Cong
Li, Zhen
Wang, Tan
Xu, Xianbao
Zhang, Xiaoshuan
Li, Daoliang
author_sort Wang, Cong
collection PubMed
description With the continuous expansion of aquaculture scale and density, contemporary aquaculture methods have been forced to overproduce resulting in the accelerated imbalance rate of water environment, the frequent occurrence of fish diseases, and the decline of aquatic product quality. Moreover, due to the fact that the average age profile of agricultural workers in many parts of the world are on the higher side, fishery production will face the dilemma of shortage of labor, and aquaculture methods are in urgent need of change. Modern information technology has gradually penetrated into various fields of agriculture, and the concept of intelligent fish farm has also begun to take shape. The intelligent fish farm tries to deal with the precise work of increasing oxygen, optimizing feeding, reducing disease incidences, and accurately harvesting through the idea of “replacing human with machine,” so as to liberate the manpower completely and realize the green and sustainable aquaculture. This paper reviews the application of fishery intelligent equipment, IoT, edge computing, 5G, and artificial intelligence algorithms in modern aquaculture, and analyzes the existing problems and future development prospects. Meanwhile, based on different business requirements, the design frameworks for key functional modules in the construction of intelligent fish farm are proposed.
format Online
Article
Text
id pubmed-8435764
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer International Publishing
record_format MEDLINE/PubMed
spelling pubmed-84357642021-09-13 Intelligent fish farm—the future of aquaculture Wang, Cong Li, Zhen Wang, Tan Xu, Xianbao Zhang, Xiaoshuan Li, Daoliang Aquac Int Article With the continuous expansion of aquaculture scale and density, contemporary aquaculture methods have been forced to overproduce resulting in the accelerated imbalance rate of water environment, the frequent occurrence of fish diseases, and the decline of aquatic product quality. Moreover, due to the fact that the average age profile of agricultural workers in many parts of the world are on the higher side, fishery production will face the dilemma of shortage of labor, and aquaculture methods are in urgent need of change. Modern information technology has gradually penetrated into various fields of agriculture, and the concept of intelligent fish farm has also begun to take shape. The intelligent fish farm tries to deal with the precise work of increasing oxygen, optimizing feeding, reducing disease incidences, and accurately harvesting through the idea of “replacing human with machine,” so as to liberate the manpower completely and realize the green and sustainable aquaculture. This paper reviews the application of fishery intelligent equipment, IoT, edge computing, 5G, and artificial intelligence algorithms in modern aquaculture, and analyzes the existing problems and future development prospects. Meanwhile, based on different business requirements, the design frameworks for key functional modules in the construction of intelligent fish farm are proposed. Springer International Publishing 2021-09-13 2021 /pmc/articles/PMC8435764/ /pubmed/34539102 http://dx.doi.org/10.1007/s10499-021-00773-8 Text en © The Author(s), under exclusive licence to Springer Nature Switzerland AG 2021 This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Wang, Cong
Li, Zhen
Wang, Tan
Xu, Xianbao
Zhang, Xiaoshuan
Li, Daoliang
Intelligent fish farm—the future of aquaculture
title Intelligent fish farm—the future of aquaculture
title_full Intelligent fish farm—the future of aquaculture
title_fullStr Intelligent fish farm—the future of aquaculture
title_full_unstemmed Intelligent fish farm—the future of aquaculture
title_short Intelligent fish farm—the future of aquaculture
title_sort intelligent fish farm—the future of aquaculture
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8435764/
https://www.ncbi.nlm.nih.gov/pubmed/34539102
http://dx.doi.org/10.1007/s10499-021-00773-8
work_keys_str_mv AT wangcong intelligentfishfarmthefutureofaquaculture
AT lizhen intelligentfishfarmthefutureofaquaculture
AT wangtan intelligentfishfarmthefutureofaquaculture
AT xuxianbao intelligentfishfarmthefutureofaquaculture
AT zhangxiaoshuan intelligentfishfarmthefutureofaquaculture
AT lidaoliang intelligentfishfarmthefutureofaquaculture