The key to develop and apply technologies,equipment,and systems for intelligent cow breeding is to digitize and intelligently perceive breeding information. From various production factors related to the breeding ecological environment,physiological health,and growth performance of cows,indicators that are perceivable,predictable,and closely related to production performance such as cow reproduction and lactation are selected.Clarify the dynamic reference standards and their correlation with production performance for each indicator,Thereby establish a digital characterization index system.The framework of the characterization index system for the intelligent cow breeding established in this paper was divided into 3 indicator categories,7 indicator layers,and 28 indicator items. Referring to current national,industry,or local standards,as well as some industry research results,the meanings,technical content,perception methods,and numerical distribution ranges of each indicator item were listed.Relevant group standard will be formulated.
HU Yinong, BAI Zongchun, ZHU Hongbin, TIAN Yu
. Research on the Digital Characterization Index System for Ecological Environment,Physiological Health,and Growth Performance of Intelligent Cow Breeding[J]. China Dairy, 2023
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DOI: 10.12377/1671-4393.23.08.08
[1] 扈少华,潘立武,席磊.畜禽养殖信息化数据标准研究[J].黑龙江畜牧兽医,2017,519(3):103-106.
[2] 庞美蓉,张铭磊.数字农业背景下的数字化养殖标准体系构建探索[J].中国标准化,2021,588(15):136-140.
[3] 仝国栋,应珊婷.智慧农业标准化现状分析及标准体系构建[J].中国标准化,2022,608(11):112-117.
[4] 胡肄农,柏宗春,还红华.加快智慧奶业建设,推进江苏奶业现代化[J].江苏农业科学,2022,50(22):65-69.
[5] 胡肄农. 智慧奶业关键技术与发展建议[J].中国畜牧杂志,2023,59(4):318-322.
[6] 高睿,刘皓琦,王宏光,等.“互联网+”现代畜牧业数据标准与接口规范的方法研究[J].黑龙江畜牧兽医,2019,568(4):14-21.