A Data-Driven Intelligent Management Scheme for Digital Industrial Aquaculture based on Multi-object Deep Neural Network

A Data-Driven Intelligent Management Scheme for Digital Industrial Aquaculture based on Multi-object Deep Neural Network

With the development of intelligent aquaculture, the aquaculture industry is gradually switching from traditional crude farming to an intelligent industrial model. Current aquaculture management mainly relies on manual observation, which cannot comprehensively perceive fish living conditions and wat...

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Bibliographic Details
Main Authors: Yueming Zhou, Junchao Yang, Amr Tolba, Fayez Alqahtani, Xin Qi, Yu Shen
Format: Article
Language:English
Published: AIMS Press 2023-04-01
Series:Mathematical Biosciences and Engineering
Subjects:
intelligent aquaculture
multi-object deep learning
fish state management
water quality monitoring
Online Access:https://www.aimspress.com/article/doi/10.3934/mbe.2023458?viewType=HTML

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https://www.aimspress.com/article/doi/10.3934/mbe.2023458?viewType=HTML

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