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韩国智能畜牧业大数据流通愿景。

The vision of big data recirculation for smart livestock farming in South Korea.

作者信息

Lee Seung-Hoon, Lim Kyu-Sang, Lee Hakkyo, Heo Jaeyoung, Kim Jaemin, Kim Seon-Ho, Kim Sung-Hak, Park Jong-Eun, Lim Dajeong, Oh Jae-Don, Kim Bu-Min, Yoo Song-Won, Shin Donghyun, Kim Jun-Mo

机构信息

The Korean Society of Animal Big Data Research, Korean Society of Animal Science and Technology, Seoul 06367, Korea.

Department of Animal Science and Technology, Chung-Ang University, Anseong 17546, Korea.

出版信息

J Anim Sci Technol. 2025 Mar;67(2):303-313. doi: 10.5187/jast.2025.e21. Epub 2025 Mar 31.

DOI:10.5187/jast.2025.e21
PMID:40264530
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12010223/
Abstract

A smart livestock farm is a livestock farm where information and communication technology systems are used. Based on the measured data, these systems can make decisions regarding all processes, including stocking, breeding, shipping, and evaluation. The data generated from smart livestock farms have increased the complexity and diversity of phenotypes. Fused data that integrate environmental and phenotypic information from smart livestock farms with genetic data are valuable for detailed applications in breeding and specifications, as they help understand complex and organic phenotypes and environments. However, their effectiveness is limited by restrictions on data sharing and non-standardized formats. This limitation leads to other restrictions against researchers, such as restrictions on the range of projects, the supply of new technologies or farm species, and policy development or application restrictions. Therefore, promoting a recirculating environment to increase productivity, developing climate-adapted livestock, and implementing policies are necessary. We discuss the smart livestock farm from the perspective of ' = + '. The dissemination of smart livestock big data and essential components, such as data warehouses, is outlined.

摘要

智能畜牧场是使用信息和通信技术系统的畜牧场。基于测量数据,这些系统可以对包括存栏、育种、运输和评估在内的所有流程做出决策。智能畜牧场产生的数据增加了表型的复杂性和多样性。将智能畜牧场的环境和表型信息与遗传数据整合在一起的融合数据对于育种和规格方面的详细应用很有价值,因为它们有助于理解复杂的有机表型和环境。然而,它们的有效性受到数据共享限制和格式不标准化的制约。这种限制导致了对研究人员的其他限制,例如对项目范围的限制、新技术或农场物种的供应限制以及政策制定或应用限制。因此,促进循环环境以提高生产力、培育适应气候的牲畜以及实施政策是必要的。我们从“ = + ”的角度讨论智能畜牧场。概述了智能畜牧大数据的传播以及数据仓库等基本组件。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/1349a79af90b/jast-67-2-303-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/d11a3199a338/jast-67-2-303-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/fe6375435b2f/jast-67-2-303-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/1349a79af90b/jast-67-2-303-g3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/d11a3199a338/jast-67-2-303-g1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/fe6375435b2f/jast-67-2-303-g2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4e64/12010223/1349a79af90b/jast-67-2-303-g3.jpg

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Breeding potential for pork belly to the novel economic trait.猪五花肉针对新经济性状的育种潜力。
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