农业机械学报2025，Vol.56Issue(10)：1-19,19.DOI:10.6041/j.issn.1000-1298.2025.10.001
智慧渔业无人养殖工厂数智技术体系研究综述
Towards Smart Fishery:Application Status and Prospects of Digital-intelligent Technology System in Unmanned Aquaculture Factories
摘要
Abstract
Smart fishery unmanned aquaculture factories,as a transformative production model centered on digital-intelligent technologies,breaking through the bottlenecks of traditional aquaculture,such as over-reliance on manual experience and extensive management by enabling full-process unmanned management.The current applications and future prospects of core digital-intelligent technologies in smart fishery unmanned aquaculture factories were systematically reviewed.It emphasized how these innovations transition aquaculture paradigms from traditional experience-driven practices to data-intelligent frameworks.The system was designed around a closed-loop control architecture that integrated biological state monitoring,environmental regulation,resource management,and production decision-making,operating through a"monitoring-analysis-decision-execution"mechanism.The key technologies were innovatively explored:intelligent precision feeding achieved demand-driven supply via multi-modal fusion of computer vision,acoustic sensing,and adaptive algorithms;water quality monitoring realized multi-parameter synergy through integrated electrochemical,spectroscopic,and machine vision techniques;disease prevention formed an early warning chain combining phenotypic recognition,behavioral analysis,and molecular detection;growth models evolved from static statistical fitting to dynamic integration of bioenergetics and machine learning;intelligent equipment systems built a collaborative network of sensing,decision-making,and execution;and automatic processing realized precision via robotic operations and non-invasive quality detection.Future research should prioritize three key directions:hybrid modeling integrating biological mechanisms and data-driven approaches to enhance interpretability and prediction robustness;cloud-edge collaborative reasoning to boost real-time decision-making;and interdisciplinary integration of flexible electronics,bionic materials,and ecological engineering.These efforts would drive the evolution from automation to adaptive intelligent regulation and lay a technical foundation for the green and high-quality development of aquaculture.关键词
智慧渔业/无人养殖工厂/数智技术/人工智能/渔业装备Key words
smart fisheries/unmanned aquaculture factories/digital-intelligent technology/artificial intelligence/fishery equipment分类
农业科技引用本文复制引用
麻志宏,赵天昊,陈雨泽,何雨航,胡庆松,方辉,郑汉丰,刘鹰..智慧渔业无人养殖工厂数智技术体系研究综述[J].农业机械学报,2025,56(10):1-19,19.基金项目
国家重点研发计划项目(2024YFD2400100) （2024YFD2400100）
