水产养殖中智能识别技术的研究进展  

Research progress of intelligent identification technology in aquaculture

作　　者：汪小旵[1] 武尧 肖茂华[1] 施印炎 WANG Xiaochan;WU Yao;XIAO Maohua;SHI Yinyan(College of Engineering,Nanjing Agricultural University,Nanjing 210031,China)

机构地区：[1]南京农业大学工学院,江苏南京210031

出　　处：《华南农业大学学报》2023年第1期24-33,共10页Journal of South China Agricultural University

基　　金：江苏省科技计划(BE2021362,BZ2021024);江苏省现代农机装备与技术示范推广项目(NJ2020-09,NJ2020-03)。

摘　　要：智能识别技术是水产养殖由粗放型向集约型转变的关键技术。水产养殖中的智能识别是通过研究并利用机器视觉和机器学习技术实现水下生物和环境的监测,并对生产管理中出现的问题进行判断、分析和预测,以实现自动化养殖为目的。本文从生物的物种识别与分类、年龄识别、性别识别和行为识别4个方面分析了水产养殖中智能识别技术的研究和发展现状,阐述了水产养殖中采用的主要智能识别技术和原理,并对今后水产养殖中智能识别技术的发展进行了展望,以期为中国渔业现代化、智慧化发展提供参考和新思路。Intelligent identification technology is the key technology for the transformation of aquaculture from crude to intensive.Intelligent recognition in aquaculture is to realize the monitoring of underwater organisms and environment by researching and using machine vision and machine learning technology,and to judge,analyze and predict the problems arising in production management for the purpose of automated aquaculture.This review analyzed the research and development status of intelligent recognition technology in aquaculture from four aspects of species recognition and classification,age recognition,sex recognition and behavior recognition of organisms,described the main intelligent recognition technologies and principles used in aquaculture,and provided an outlook on the future development of intelligent recognition technology in aquaculture,with a view to providing references and new ideas for the modernization and intelligent development of Chinese fisheries industry.

关 键 词：智慧农业 水产养殖 智能识别 生物识别 行为监测 环境监测 

分 类 号：S96[农业科学—水产养殖] TP27[农业科学—水产科学]