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作 者:胡肄农[1] 柏宗春[1] 朱红宾 田雨 HU Yinong;BAI Zongchun;ZHU Hongbin;TIAN Yu(IAFE,Jiangsu Academy of Agricultural Science,Nanjing Jiangsu 210014;Shanghai Kepaiteng Information Technology Co.,Ltd.,Shanghai 200072;Nanjing Weigang Dairy Co.,Ltd.,Nanjing Jiangsu 211100)
机构地区:[1]江苏省农业科学院农业设施与装备研究所/农业农村部长江中下游设施农业工程重点实验室,江苏南京210014 [2]上海科湃腾信息科技有限公司,上海200072 [3]南京卫岗乳品有限公司,江苏南京211100
出 处:《中国乳业》2023年第8期46-49,共4页China Dairy
基 金:江苏省现代农业重点及面上项目(BE2022316);江苏省现代农机装备与技术示范推广项目(NJ2022-48)。
摘 要:研发和应用面向奶牛智慧养殖的技术、装备与系统,首要关键是对养殖信息进行数字化表征与智能化感知,从养殖生态环境、奶牛生理健康与生长性能相关的诸多生产要素中,筛选出可感知、可预测、与奶牛繁殖、泌乳等生产性能紧密相关的指标,明确各指标的动态参考标准及其与生产性能之间的关联关系,建立数字化表征指标体系。本文建立的奶牛智慧养殖表征指标体系框架,分为3个指标类、7个指标层,28个指标项,参考现行国家、行业或地方标准,及部分行业研究成果,列出各指标项的含义、技术内容、感知方式及数值分布范围,并制定相关团体标准。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.
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