数字智能渔业技术在水产养殖中的发展综述

IF 2.4 3区 农林科学 Q2 FISHERIES Aquaculture International Pub Date : 2025-02-18 DOI:10.1007/s10499-025-01870-8
Penglong Li, Haibin Han, Shengmao Zhang, Hui Fang, Wei Fan, Feng Zhao, Chaofei Xu
{"title":"数字智能渔业技术在水产养殖中的发展综述","authors":"Penglong Li,&nbsp;Haibin Han,&nbsp;Shengmao Zhang,&nbsp;Hui Fang,&nbsp;Wei Fan,&nbsp;Feng Zhao,&nbsp;Chaofei Xu","doi":"10.1007/s10499-025-01870-8","DOIUrl":null,"url":null,"abstract":"<div><p>The digital transformation of China’s traditional aquaculture industry has promoted the high-quality development of China’s aquaculture industry and helped China become one of the world’s largest aquaculture countries. In this paper, the current status of aquaculture digital transformation will be described from two perspectives: aquaculture process and aquaculture digital technology. The aquaculture process can be divided into eight steps by the eight-step intensive aquaculture method, and each aquaculture step and aquaculture digital intelligence technology are analyzed, revealing that technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence, etc. promote high-speed growth of aquaculture productivity through the adjustment of aquaculture management decisions and the improvement of production factors, and that big data and blockchain technologies contribute to building a more trustworthy environment for online transactions and improving product traceability, offering potential steps toward integrated aquaculture. This review summarizes successful cases of digital transformation in Chinese aquaculture, providing a reference for the future development of digital aquaculture in the world. This review draws on the successful experience of China’s aquaculture transformation to help accelerate the adoption of digital intelligence in aquaculture plants around the world and to serve as a basis for the improvement of current and future digital intelligence technologies.</p></div>","PeriodicalId":8122,"journal":{"name":"Aquaculture International","volume":"33 3","pages":""},"PeriodicalIF":2.4000,"publicationDate":"2025-02-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Reviews on the development of digital intelligent fisheries technology in aquaculture\",\"authors\":\"Penglong Li,&nbsp;Haibin Han,&nbsp;Shengmao Zhang,&nbsp;Hui Fang,&nbsp;Wei Fan,&nbsp;Feng Zhao,&nbsp;Chaofei Xu\",\"doi\":\"10.1007/s10499-025-01870-8\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The digital transformation of China’s traditional aquaculture industry has promoted the high-quality development of China’s aquaculture industry and helped China become one of the world’s largest aquaculture countries. In this paper, the current status of aquaculture digital transformation will be described from two perspectives: aquaculture process and aquaculture digital technology. The aquaculture process can be divided into eight steps by the eight-step intensive aquaculture method, and each aquaculture step and aquaculture digital intelligence technology are analyzed, revealing that technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence, etc. promote high-speed growth of aquaculture productivity through the adjustment of aquaculture management decisions and the improvement of production factors, and that big data and blockchain technologies contribute to building a more trustworthy environment for online transactions and improving product traceability, offering potential steps toward integrated aquaculture. This review summarizes successful cases of digital transformation in Chinese aquaculture, providing a reference for the future development of digital aquaculture in the world. This review draws on the successful experience of China’s aquaculture transformation to help accelerate the adoption of digital intelligence in aquaculture plants around the world and to serve as a basis for the improvement of current and future digital intelligence technologies.</p></div>\",\"PeriodicalId\":8122,\"journal\":{\"name\":\"Aquaculture International\",\"volume\":\"33 3\",\"pages\":\"\"},\"PeriodicalIF\":2.4000,\"publicationDate\":\"2025-02-18\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Aquaculture International\",\"FirstCategoryId\":\"97\",\"ListUrlMain\":\"https://link.springer.com/article/10.1007/s10499-025-01870-8\",\"RegionNum\":3,\"RegionCategory\":\"农林科学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"FISHERIES\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aquaculture International","FirstCategoryId":"97","ListUrlMain":"https://link.springer.com/article/10.1007/s10499-025-01870-8","RegionNum":3,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"FISHERIES","Score":null,"Total":0}
引用次数: 0

摘要

中国传统养殖业的数字化转型促进了中国养殖业的高质量发展,帮助中国成为世界上最大的水产养殖国家之一。本文将从养殖过程和养殖数字技术两个角度阐述水产养殖数字化转型的现状。通过八步集约养殖方法将养殖过程划分为八个步骤,并对每个养殖步骤和养殖数字智能技术进行分析,揭示物联网(IoT)、云计算、人工智能等技术通过调整养殖管理决策和改善生产要素,促进养殖生产力高速增长;大数据和区块链技术有助于建立一个更值得信赖的在线交易环境,提高产品的可追溯性,为综合水产养殖提供了潜在的步骤。本文总结了中国水产养殖数字化转型的成功案例,为未来世界水产养殖数字化发展提供参考。本综述借鉴了中国水产养殖转型的成功经验,以帮助加快世界各地水产养殖场对数字智能的采用,并为改进当前和未来的数字智能技术奠定基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
Reviews on the development of digital intelligent fisheries technology in aquaculture

The digital transformation of China’s traditional aquaculture industry has promoted the high-quality development of China’s aquaculture industry and helped China become one of the world’s largest aquaculture countries. In this paper, the current status of aquaculture digital transformation will be described from two perspectives: aquaculture process and aquaculture digital technology. The aquaculture process can be divided into eight steps by the eight-step intensive aquaculture method, and each aquaculture step and aquaculture digital intelligence technology are analyzed, revealing that technologies such as the Internet of Things (IoT), cloud computing, artificial intelligence, etc. promote high-speed growth of aquaculture productivity through the adjustment of aquaculture management decisions and the improvement of production factors, and that big data and blockchain technologies contribute to building a more trustworthy environment for online transactions and improving product traceability, offering potential steps toward integrated aquaculture. This review summarizes successful cases of digital transformation in Chinese aquaculture, providing a reference for the future development of digital aquaculture in the world. This review draws on the successful experience of China’s aquaculture transformation to help accelerate the adoption of digital intelligence in aquaculture plants around the world and to serve as a basis for the improvement of current and future digital intelligence technologies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
Aquaculture International
Aquaculture International 农林科学-渔业
CiteScore
5.10
自引率
6.90%
发文量
204
审稿时长
1.0 months
期刊介绍: Aquaculture International is an international journal publishing original research papers, short communications, technical notes and review papers on all aspects of aquaculture. The Journal covers topics such as the biology, physiology, pathology and genetics of cultured fish, crustaceans, molluscs and plants, especially new species; water quality of supply systems, fluctuations in water quality within farms and the environmental impacts of aquacultural operations; nutrition, feeding and stocking practices, especially as they affect the health and growth rates of cultured species; sustainable production techniques; bioengineering studies on the design and management of offshore and land-based systems; the improvement of quality and marketing of farmed products; sociological and societal impacts of aquaculture, and more. This is the official Journal of the European Aquaculture Society.
期刊最新文献
Impact of low temperature on carbohydrate utilization, enzymes activities and gene expression in rohu (Labeo rohita) fingerlings Mitigating deltamethrin-induced systemic toxicity in Nile Tilapia (Oreochromis niloticus) via dietary artichoke (Cynara scolymus) leaf extract: a multi-biomarker approach Performance and fillet quality of striped catfish (Pangasianodon hypophthalmus) reared under elevated salinities during the grow-out phase Determining the age and size at sexual maturity in the sea cucumber Apostichopus japonicus Dietary argan oil for juvenile rainbow trout: growth performance, fatty acid profile, and antioxidant defense
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1