Intelligent fish farm—the future of aquaculture

被引：0
作者：
Cong Wang
Zhen Li
Tan Wang
Xianbao Xu
Xiaoshuan Zhang
Daoliang Li
机构：
[1] China Agricultural University,National Innovation Center for Digital Fishery
[2] Beijing Engineering and Technology Research Centre for Internet of Things in Agriculture China Agriculture University,College of Information and Electrical Engineering
[3] China Agricultural University,College of Engineering
[4] China Agricultural University,undefined
来源：
Aquaculture International | 2021年 / 29卷
关键词：
Artificial intelligence; Internet of Things; Intelligent equipment; Machine vision; Unmanned boat;
D O I：
暂无
中图分类号：
学科分类号：
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.
引用
收藏
页码：2681 / 2711
页数：30
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