水产学报2024，Vol.48Issue(12)：14-27,14.DOI:10.11964/jfc.20240914687
鱼类智能化加工技术研究应用现状与展望
Research status and development trends of intelligent fish processing
摘要
Abstract
The growing global demand for seafood underscores a pressing need for efficiency,quality enhance-ment,and sustainable practices in the fish processing industry.Intelligent fish processing technology,which lever-ages advancements in artificial intelligence(AI),machine learning(ML),robotics,and big data analytics,is trans-forming conventional fish processing methods.This review comprehensively analyzes the fundamental technolo-gies underpinning intelligent fish processing,such as machine vision,image analysis,robotic automation,deep learning,and big data analytics.These technologies are instrumental in optimizing processing efficiency,minimiz-ing labor costs,and maintaining high standards of product quality and consistency.Practical applications of these innovations are discussed,including automated sorting and grading,precision slaughtering and cutting,and the use of intelligent packaging systems,which collectively drive improved production efficiency and enhance product competitiveness in the marketplace.Additionally,this paper explores future industry trends,emphasizing the role of the Internet of Things(IoT),cloud computing,and personalized consumer preferences in advancing the sector towards more intelligent and automated processes.Furthermore,the review addresses key challenges in imple-menting these technologies,such as the need for scalable infrastructure and enhanced data management for real-time monitoring and quality control.By providing a cohesive overview of intelligent fish processing,this paper offers valuable insights that support both scientific exploration and industry adaptation,marking a significant step towards a high-quality,sustainable,and consumer-responsive fish processing industry.关键词
鱼类/人工智能/加工/机器学习/机器视觉/智能包装Key words
fish/artificial intelligence/processing/machine learning/machine vision/intelligent packaging分类
农业科技引用本文复制引用
董师良,田元勇,肖金星,袁春红,刘鹰..鱼类智能化加工技术研究应用现状与展望[J].水产学报,2024,48(12):14-27,14.基金项目
浙江省科技计划项目(2022C02040) （2022C02040）
现代农业产业技术体系专项(CARS-49) Science and Technology Program of Zhejiang Province(2022C02040) （CARS-49）
China Agriculture Research System(CARS-49) （CARS-49）
