Intelligent fish farm—the future of aquaculture

水产养殖 农业 经济短缺 养鱼业 工作(物理) 业务 渔业 计算机科学 工程类 生态学 生物 机械工程 语言学 哲学 政府(语言学)
作者
Cong Wang,Zhen Li,Tan Wang,Xianbao Xu,Xiaoshuan Zhang,Daoliang Li
出处
期刊:Aquaculture International [Springer Science+Business Media]
卷期号:29 (6): 2681-2711 被引量:155
标识
DOI:10.1007/s10499-021-00773-8
摘要

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.
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