• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

Artificial intelligence applied to dairy science: insights from the Dairy Brain Initiative.

作者信息

Cabrera Victor E

机构信息

Department of Animal and Dairy Sciences, University of Wisconsin-Madison, Madison, WI 53706, United States.

出版信息

Anim Front. 2025 Jan 4;14(6):60-63. doi: 10.1093/af/vfae040. eCollection 2024 Dec.

DOI:10.1093/af/vfae040
PMID:39764522
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11700617/
Abstract
摘要
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ee/11700617/885b43a3a7f6/vfae040_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ee/11700617/885b43a3a7f6/vfae040_fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/84ee/11700617/885b43a3a7f6/vfae040_fig1.jpg

相似文献

1
Artificial intelligence applied to dairy science: insights from the Dairy Brain Initiative.应用于乳品科学的人工智能:来自乳品大脑计划的见解。
Anim Front. 2025 Jan 4;14(6):60-63. doi: 10.1093/af/vfae040. eCollection 2024 Dec.
2
Invited review: integration of technologies and systems for precision animal agriculture-a case study on precision dairy farming.特邀综述:精准动物农业的技术和系统集成——以精准奶牛养殖为例。
J Anim Sci. 2023 Jan 3;101. doi: 10.1093/jas/skad206.
3
Invited review: Big Data in precision dairy farming.特邀综述:精准奶牛养殖中的大数据。
Animal. 2019 Jul;13(7):1519-1528. doi: 10.1017/S1751731118003439. Epub 2019 Jan 11.
4
Symposium review: Real-time continuous decision making using big data on dairy farms.研讨会综述:利用奶牛场大数据进行实时连续决策。
J Dairy Sci. 2020 Apr;103(4):3856-3866. doi: 10.3168/jds.2019-17145. Epub 2019 Dec 19.
5
Human-computer interactions with farm animals-enhancing welfare through precision livestock farming and artificial intelligence.人与农场动物的互动——通过精准畜牧养殖和人工智能提升动物福利
Front Vet Sci. 2024 Nov 14;11:1490851. doi: 10.3389/fvets.2024.1490851. eCollection 2024.
6
Symposium review: Dairy Brain-Informing decisions on dairy farms using data analytics.研讨会综述:乳制品大脑——使用数据分析为奶牛场做出决策。
J Dairy Sci. 2020 Apr;103(4):3874-3881. doi: 10.3168/jds.2019-17199. Epub 2020 Feb 26.
7
Is experience on a farm an effective approach to understanding animal products and the management of dairy farming?农场体验是理解动物产品及奶牛养殖管理的有效途径吗?
Anim Sci J. 2014 Mar;85(3):323-9. doi: 10.1111/asj.12107. Epub 2013 Aug 25.
8
Digital and Precision Technologies in Dairy Cattle Farming: A Bibliometric Analysis.奶牛养殖中的数字与精准技术:文献计量分析
Animals (Basel). 2024 Jun 20;14(12):1832. doi: 10.3390/ani14121832.
9
International Symposium on Ruminant Physiology: Leveraging computer vision, large language models, and multimodal machine learning for optimal decision making in dairy farming.反刍动物生理学国际研讨会:利用计算机视觉、大语言模型和多模态机器学习实现奶牛养殖的最佳决策
J Dairy Sci. 2025 Jul;108(7):7493-7510. doi: 10.3168/jds.2024-25650. Epub 2025 Apr 11.
10
From Herd Health to Public Health: Digital Tools for Combating Antibiotic Resistance in Dairy Farms.从畜群健康到公共卫生:奶牛场对抗抗生素耐药性的数字工具
Antibiotics (Basel). 2024 Jul 9;13(7):634. doi: 10.3390/antibiotics13070634.

引用本文的文献

1
From tradition to precision: leveraging digital tools to improve cattle health and welfare.从传统到精准:利用数字工具改善牛的健康与福利。
Front Vet Sci. 2025 Apr 2;12:1549512. doi: 10.3389/fvets.2025.1549512. eCollection 2025.

本文引用的文献

1
The DairyPrint model: A decision support model to help dairy farmers and other stakeholders toward improved sustainability.奶牛养殖打印模型:一种决策支持模型,旨在帮助奶农和其他利益相关者提高可持续性。
J Dairy Sci. 2024 Dec;107(12):10998-11015. doi: 10.3168/jds.2024-24946. Epub 2024 Aug 3.
2
A stochastic animal life cycle simulation model for a whole dairy farm system model: Assessing the value of combined heifer and lactating dairy cow reproductive management programs.一种用于整个奶牛场系统模型的随机动物生命周期模拟模型:评估后备牛和泌乳奶牛综合繁殖管理方案的价值。
J Dairy Sci. 2023 May;106(5):3246-3267. doi: 10.3168/jds.2022-22396. Epub 2023 Mar 10.
3
Predicting daily milk yield for primiparous cows using data of within-herd relatives to capture genotype-by-environment interactions.
利用群体内亲缘关系数据预测初产奶牛的日产奶量,以捕捉基因型-环境互作。
J Dairy Sci. 2022 Aug;105(8):6739-6748. doi: 10.3168/jds.2021-21559. Epub 2022 Jun 7.
4
Improving nutritional accuracy and economics through a multiple ration-grouping strategy.通过多重配给分组策略提高营养准确性和经济性。
J Dairy Sci. 2020 Apr;103(4):3774-3785. doi: 10.3168/jds.2019-17608. Epub 2020 Feb 13.
5
Symposium review: Real-time continuous decision making using big data on dairy farms.研讨会综述:利用奶牛场大数据进行实时连续决策。
J Dairy Sci. 2020 Apr;103(4):3856-3866. doi: 10.3168/jds.2019-17145. Epub 2019 Dec 19.