Suppr超能文献

解决奶牛养殖业中的数据瓶颈问题。

Addressing Data Bottlenecks in the Dairy Farm Industry.

作者信息

Fadul-Pacheco Liliana, Wangen Steven R, da Silva Tadeu Eder, Cabrera Victor E

机构信息

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

American Family Insurance Data Science Institute, University of Wisconsin-Madison, Madison, WI 53715, USA.

出版信息

Animals (Basel). 2022 Mar 12;12(6):721. doi: 10.3390/ani12060721.

Abstract

A survey to explore the challenges and opportunities for dairy farm data management and governance was completed by 73 farmers and 96 non-farmers. Although 91% of them find data sharing beneficial, 69% are unfamiliar with data collection protocols and standards, and 66% of farmers feel powerless over their data chain of custody. Although 58% of farmers share data, only 19% of them recall having signed a data share agreement. Fifty-two percent of respondents agree that data collected on farm belongs only to the farmer, with 25% of farmers believing intellectual property products are being developed with their data, and 90% of all said companies should pay farmers when making money from their data. Farmers and non-farmers are somewhat concerned about data ownership, security, and confidentiality, but non-farmers were more concerned about data collection standards and lack of integration. Sixty-two percent of farmers integrate data from different sources. Farmers' most used technologies are milk composition (67%) and early disease detection (56%); most desired technologies are body condition score (56%) and automatic milking systems (46%); most abandoned technologies are temperature and activity sensors (14%) and automatic sorting gates (13%). A better understanding of these issues is paramount for the industry's long-term sustainability.

摘要

一项针对奶农和96名非奶农开展的调查,旨在探索奶牛场数据管理与治理面临的挑战和机遇。尽管其中91%的人认为数据共享有益,但69%的人不熟悉数据收集协议和标准,66%的奶农对其数据保管链感到无力。虽然58%的奶农会共享数据,但只有19%的人记得签署过数据共享协议。52%的受访者认为农场收集的数据仅属于农民,25%的奶农认为正在利用他们的数据开发知识产权产品,90%的受访者表示公司利用他们的数据盈利时应该向农民付费。奶农和非奶农对数据所有权、安全性和保密性都有所担忧,但非奶农更担心数据收集标准和缺乏整合。62%的奶农会整合来自不同来源的数据。奶农最常用的技术是牛奶成分检测(67%)和早期疾病检测(56%);最期望的技术是体况评分(56%)和自动挤奶系统(46%);最被弃用的技术是温度和活动传感器(14%)和自动分选门(13%)。更好地理解这些问题对该行业的长期可持续发展至关重要。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3d3b/8944568/faee749d528c/animals-12-00721-g0A1.jpg

相似文献

1
Addressing Data Bottlenecks in the Dairy Farm Industry.
Animals (Basel). 2022 Mar 12;12(6):721. doi: 10.3390/ani12060721.
2
Dairy farmers with larger herd sizes adopt more precision dairy technologies.
J Dairy Sci. 2018 Jun;101(6):5466-5473. doi: 10.3168/jds.2017-13324. Epub 2018 Mar 7.
3
Dairy farmers' expectations and receptivity regarding animal welfare advice: A focus group study.
J Dairy Sci. 2019 Aug;102(8):7385-7397. doi: 10.3168/jds.2018-15821. Epub 2019 Jun 13.
4
Data Governance in the Dairy Industry.
Animals (Basel). 2021 Oct 15;11(10):2981. doi: 10.3390/ani11102981.
5
Exploring the Opinions of Irish Dairy Farmers Regarding Male Dairy Calves.
Front Vet Sci. 2021 Apr 20;8:635565. doi: 10.3389/fvets.2021.635565. eCollection 2021.
6
Adoption of Precision Technologies by Brazilian Dairy Farms: The Farmer's Perception.
Animals (Basel). 2021 Dec 7;11(12):3488. doi: 10.3390/ani11123488.
7
A prospective exploration of farm, farmer, and animal characteristics in human-animal relationships: An epidemiological survey.
J Dairy Sci. 2016 Jul;99(7):5573-5585. doi: 10.3168/jds.2015-10633. Epub 2016 Apr 13.
8
Farmers' preferences for automatic lameness-detection systems in dairy cattle.
J Dairy Sci. 2017 Jul;100(7):5746-5757. doi: 10.3168/jds.2016-12285. Epub 2017 May 17.
9
Assessing the perceptions and practices of peri-urban dairy farmers regarding bovine mastitis management in North-Western Nigeria.
Prev Vet Med. 2021 Sep;194:105442. doi: 10.1016/j.prevetmed.2021.105442. Epub 2021 Jul 23.
10

引用本文的文献

1
AI and Data Analytics in the Dairy Farms: A Scoping Review.
Animals (Basel). 2025 Apr 30;15(9):1291. doi: 10.3390/ani15091291.
2
CowMesh: a data-mesh architecture to unify dairy industry data for prediction and monitoring.
Front Artif Intell. 2023 Oct 4;6:1209507. doi: 10.3389/frai.2023.1209507. eCollection 2023.

本文引用的文献

3
Symposium review: Real-time continuous decision making using big data on dairy farms.
J Dairy Sci. 2020 Apr;103(4):3856-3866. doi: 10.3168/jds.2019-17145. Epub 2019 Dec 19.
4
Age, values, farming objectives, past management decisions, and future intentions in New Zealand agriculture.
J Environ Manage. 2019 Feb 1;231:110-120. doi: 10.1016/j.jenvman.2018.10.018. Epub 2018 Oct 16.
5
Adoption of technology, management practices, and production systems in US milk production.
J Dairy Sci. 2010 Dec;93(12):6012-22. doi: 10.3168/jds.2010-3425.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验