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DOI:10.16418/j.issn.1000-3045.20230823002
中国科学院院刊:2024,39(11):1982-1993
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畜禽养殖业数据应用展望和问题分析
陈怡然1,2,3, 熊竹青1,2, 周脚根4, 王荃5, 舒剑成6, 闫银发2, 杨兰林3, 冯泽猛1, 熊本海7, 印遇龙1
(1.中国科学院亚热带农业生态研究所 中国科学院亚热带农业生态过程重点实验室 长沙 410125;2.山东农业大学 机械与电子工程学院 泰安 271018;3.中科捷云(北京)信息技术有限公司 北京 101499;4.淮阴师范学院 地理科学与规划学院 淮安 223300;5.中国科学院西安光学精密机械研究所 西安 710119;6.唐人神集团股份有限公司 株洲 412007;7.中国农业科学院北京畜牧兽医研究所 动物营养学国家重点实验室 北京 100091)
Prospect and problem analysis of industry data application in livestock and poultry breeding
CHEN Yiran1,2,3, XIONG Zhuqing1,2, ZHOU Jiaogen4, WANG Quan5, SHU Jiancheng6, YAN Yinfa2, YANG Lanlin3, FENG Zemeng1, XIONG Benhai7, YIN Yulong1
(1.CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China;2.College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China;3.Zhongke Jieyun (Beijing) Information Technology Co. Ltd., Beijing 101499, China;4.School of Geography and Planning, Huaiyin Normal University, Huai'an 223300, China;5.Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China;6.Tangrenshen Group Co. Ltd., Zhuzhou 412009, China;7.State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100091, China)
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    修订日期:2024-07-26
中文摘要: 畜禽养殖业是我国的支柱产业,畜禽养殖业中的海量数据是一种宝贵的资源,畜禽养殖业数据的市场化利用对于提升行业水平、增加行业收益以及带动全产业链发展等都有重要作用。目前,基于畜禽养殖业数据市场化的需求,将人工智能、物联网等新一代信息技术应用于畜禽养殖中收集养殖过程数据,在对收集的数据脱密脱敏后,通过云计算、大数据等技术开发畜禽养殖业数据产品,这些数据产品不仅可以提供行业数据可视化、养殖管理、决策支持等服务,还能赋予畜禽养殖业数据市场交易的属性,使其可在市场经济中流通并得到合理利用,实现畜禽养殖产业链价值创造的最大化。未来,畜禽养殖业数据市场化应用将越来越广泛和深入,成为传统行业转型升级的关键部分,对行业发展具有重要意义。鉴于此,文章就数据收集、应用标准、数据确权和市场化建设等挑战和问题提出相关建议,以实现畜禽养殖业数据价值的最大化利用。
中文关键词: 大数据  畜禽养殖业  市场交易  全产业链  市场化  转型升级  数据价值
Abstract:Livestock and poultry breeding is a pillar industry in China. The massive data in livestock and poultry breeding is a valuable resource. The market-oriented utilization of livestock and poultry breeding data plays an important role in improving industry standards, increasing industry profits, and driving the development of the entire industry chain. Currently, based on the demand for marketization of livestock and poultry breeding data, the application of new generation information technologies such as artificial intelligence and the Internet of Things in the process of livestock and poultry breeding to collect breeding process data, after desensitization and de-classification, through cloud computing, big data and other technologies to develop livestock and poultry breeding data products. These data products can not only provide services such as industry data visualization, breeding management, decision support, etc., but also endow the livestock and poultry breeding data market with transaction attributes, allowing it to circulate and be reasonably utilized in the market economy, maximizing the value creation of the livestock and poultry breeding industry chain. In the future, the market-oriented application of livestock and poultry breeding data will become more extensive and in-depth, which is a key part of the transformation and upgrading of traditional industries and is of great significance to the development of the industry. In view of this, this study proposes relevant suggestions on challenges and issues such as data collection, application standards, data ownership confirmation, and marketization construction to maximize the utilization of livestock and poultry breeding data value.
keywords: big data  livestock and poultry breeding industry  market transactions  entire industry chain  marketization  transformation and upgrade  data value
文章编号:     中图分类号:    文献标志码:
基金项目:“十四五”国家重点研发计划(2021YFD2000800)
作者单位
陈怡然1,2,3 中国科学院亚热带农业生态研究所 中国科学院亚热带农业生态过程重点实验室 长沙 410125
山东农业大学 机械与电子工程学院 泰安 271018
中科捷云(北京)信息技术有限公司 北京 101499 
熊竹青1,2 中国科学院亚热带农业生态研究所 中国科学院亚热带农业生态过程重点实验室 长沙 410125
山东农业大学 机械与电子工程学院 泰安 271018 
周脚根4 淮阴师范学院 地理科学与规划学院 淮安 223300 
王荃5 中国科学院西安光学精密机械研究所 西安 710119 
舒剑成6 唐人神集团股份有限公司 株洲 412007 
闫银发2 山东农业大学 机械与电子工程学院 泰安 271018 
杨兰林3 中科捷云(北京)信息技术有限公司 北京 101499 
冯泽猛1* 中国科学院亚热带农业生态研究所 中国科学院亚热带农业生态过程重点实验室 长沙 410125 
熊本海7 中国农业科学院北京畜牧兽医研究所 动物营养学国家重点实验室 北京 100091 
印遇龙1 中国科学院亚热带农业生态研究所 中国科学院亚热带农业生态过程重点实验室 长沙 410125 
Author NameAffiliation
CHEN Yiran1,2,3 CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China
Zhongke Jieyun (Beijing) Information Technology Co. Ltd., Beijing 101499, China 
XIONG Zhuqing1,2 CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China
College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China 
ZHOU Jiaogen4 School of Geography and Planning, Huaiyin Normal University, Huai'an 223300, China 
WANG Quan5 Xi'an Institute of Optics and Precision Mechanics, Chinese Academy of Sciences, Xi'an 710119, China 
SHU Jiancheng6 Tangrenshen Group Co. Ltd., Zhuzhou 412009, China 
YAN Yinfa2 College of Mechanical and Electronic Engineering, Shandong Agricultural University, Tai'an 271018, China 
YANG Lanlin3 Zhongke Jieyun (Beijing) Information Technology Co. Ltd., Beijing 101499, China 
FENG Zemeng1* CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China 
XIONG Benhai7 State Key Laboratory of Animal Nutrition, Institute of Animal Sciences, Chinese Academy of Agricultural Sciences, Beijing 100091, China 
YIN Yulong1 CAS Key Laboratory of Agro-ecological Processes in Subtropical Region, Institute of Subtropical Agriculture, Chinese Academy of Sciences, Changsha 410125, China 
引用文本:
陈怡然,熊竹青,周脚根,王荃,舒剑成,闫银发,杨兰林,冯泽猛,熊本海,印遇龙.畜禽养殖业数据应用展望和问题分析[J].中国科学院院刊,2024,39(11):1982-1993.
CHEN Yiran,XIONG Zhuqing,ZHOU Jiaogen,WANG Quan,SHU Jiancheng,YAN Yinfa,YANG Lanlin,FENG Zemeng,XIONG Benhai,YIN Yulong.Prospect and problem analysis of industry data application in livestock and poultry breeding[J].Bulletin of Chinese Academy of Sciences,2024,39(11):1982-1993.
 
 
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