韩国智慧畜牧业的大数据再循环愿景。

IF 2.7 3区 农林科学 Q1 AGRICULTURE, DAIRY & ANIMAL SCIENCE
Journal of Animal Science and Technology Pub Date : 2025-03-01 Epub Date: 2025-03-31 DOI:10.5187/jast.2025.e21
Seung-Hoon Lee, Kyu-Sang Lim, Hakkyo Lee, Jaeyoung Heo, Jaemin Kim, Seon-Ho Kim, Sung-Hak Kim, Jong-Eun Park, Dajeong Lim, Jae-Don Oh, Bu-Min Kim, Song-Won Yoo, Donghyun Shin, Jun-Mo Kim
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引用次数: 0

摘要

智能养殖场是指使用信息通信技术系统的养殖场。根据测量的数据,这些系统可以对所有过程做出决策,包括放养、繁殖、运输和评估。智能养殖场产生的数据增加了表现型的复杂性和多样性。将来自智能牲畜养殖场的环境和表型信息与遗传数据相结合的融合数据对于育种和规范的详细应用非常有价值,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非标准化格式的限制。这种限制导致了对研究人员的其他限制,例如对项目范围、新技术或农场物种的供应以及政策制定或应用限制的限制。因此,有必要促进再循环环境以提高生产力,发展适应气候变化的牲畜,并实施相关政策。我们从“表型=遗传价值+环境价值”的角度来探讨智慧畜牧场。概述了智能牲畜大数据的传播和数据仓库等关键组件。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The vision of big data recirculation for smart livestock farming in South Korea.

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 'Phenotype = Genetic value + Environment value'. The dissemination of smart livestock big data and essential components, such as data warehouses, is outlined.

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来源期刊
Journal of Animal Science and Technology
Journal of Animal Science and Technology Agricultural and Biological Sciences-Food Science
CiteScore
4.50
自引率
8.70%
发文量
96
审稿时长
7 weeks
期刊介绍: Journal of Animal Science and Technology (J. Anim. Sci. Technol. or JAST) is a peer-reviewed, open access journal publishing original research, review articles and notes in all fields of animal science. Topics covered by the journal include: genetics and breeding, physiology, nutrition of monogastric animals, nutrition of ruminants, animal products (milk, meat, eggs and their by-products) and their processing, grasslands and roughages, livestock environment, animal biotechnology, animal behavior and welfare. Articles generally report research involving beef cattle, dairy cattle, pigs, companion animals, goats, horses, and sheep. However, studies involving other farm animals, aquatic and wildlife species, and laboratory animal species that address fundamental questions related to livestock and companion animal biology will also be considered for publication. The Journal of Animal Science and Technology (J. Anim. Technol. or JAST) has been the official journal of The Korean Society of Animal Science and Technology (KSAST) since 2000, formerly known as The Korean Journal of Animal Sciences (launched in 1956).
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