中国乳业 ›› 2021, Vol. 0 ›› Issue (8): 60-67.doi: 10.12377/1671-4393.21.08.12

• 饲养管理 • 上一篇    下一篇

数字化技术与装备在奶牛养殖中的应用

石芳权1,2, 王辉1, 赵一广1, 熊本海1,*   

  1. 1 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 100193;
    2 甘肃省西和县畜牧兽医站,甘肃西和 742100
  • 发布日期:2021-09-03
  • 通讯作者: *熊本海（1963-）,男,湖北红安人,博士,研究员,博士生导师,研究方向为饲料与动物营养。
  • 作者简介:石芳权（1980-）,男,甘肃西和人,学士,高级兽医师,研究方向为畜牧兽医;王 辉（1988-）,男,陕西榆林人,博士,助理研究员,研究方向为畜禽信息感知;赵一广（1986-）,男,山东莱西人,博士,助理研究员,研究方向为反刍动物营养。
  • 基金资助:
    国家重点研发计划（2019YFE0125600）; 中国农业科学院北京畜牧兽医研究所基本业务费（2021-YWF-ZYSQ-05）

Application of Digital Technology and Equipment in Dairy Cattle Breeding

SHI Fangquan1,2, WANG Hui1, ZHAO Yiguang1, XIONG Benhai1,*   

  1. 1State Key Laboratory of Animal Nutrition,Institute Animal Sciences,Chinese Academy of Agriculture Sciences, Beijing 100193;
    2Animal Husbandry and Veterinary Station of Xihe County,Xihe Gansu 742100
  • Published:2021-09-03

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摘要： 数字化技术与装备的发展情况是衡量一个产业现代化水平的重要标志。在奶业快速发展的今天,物联网、大数据、人工智能等信息技术的应用,推动着传统奶业的快速转型和升级,传感器、自动饲喂设备以及挤奶机器人将替代人工实现奶牛高效养殖和经济效益最大化。本文阐述了奶业发展前景和数字化关键技术在环境智能监控、奶牛身份识别、健康感知、繁殖监测、精准饲喂等方面的应用情况,总结了大数据信息挖掘及分析方法,以供行业参考。

关键词: 奶牛产业, 数字化, 技术应用

Abstract: Digital technology and equipment are important indicators of the modernization level of an industry.With the rapid development of the dairy industry,the application of information technologies,including Internet of Things, big data, and artificial intelligence, have promoted the rapid transformation and upgrading of the industry.Sensors, intelligent automatic feeding equipment,and milking robots replace people to maximize the efficiency and economic benefits of dairy cows.This article reviews the development prospects of the dairy industry and the application of key digital information technology in environmental intelligent monitoring,dairy cow identification, health perception, reproductive monitoring,precision feeding,and summarizes the big data information mining and analysis methods, to provide some references for the development and research of the dairy industry.

Key words: dairy industry, digitalization, technology application

[1] Onu. World Population Prospects 2019: Highlights[M]. United Nations, 2019.
[2] 王玉庭. 五部委联合发布《全国奶业发展规划(2016—2020年)》[J].中国乳业,2017(1):71.
[3] 刘长全,韩磊. 2020年中国奶业经济形势回顾及2021年展望[J].中国畜牧杂志,2021,57(3):212-216.
[4] 农业农村部市场预警专家委员会.中国农业展望报告(2021—2030)[M].北京:中国农业科学技术出版社,2021.
[5] 夏雪,侍啸,柴秀娟. 人工智能驱动智慧奶牛养殖的思考与实践[J]. 中国乳业,2020(8):5-9.
[6] 胡婷婷,廖晨星,张金梦,等.区块链+5G物联网和大数据在奶牛智能化生产中的应用[J].中国乳业,2021(5):29-33.
[7] 刘忠超,翟天嵩,何东健.精准养殖中奶牛个体信息监测研究现状及进展[J]. 黑龙江畜牧兽医,2019(13):30-33.
[8] 王云,芦娜,马毅. 信息化技术在奶牛生产中的应用[J].中国奶牛. 2020(11):61-63.
[9] 张金梦,胡婷婷,余斯炅,等. 物联网技术在奶牛养殖的应用现状及展望[J]. 中国乳业,2021(2):25-29.
[10] Vilchis V A,Jessop N S,Fawcett R H, et al.Comparison of rumination activity measured using rumination collars against direct visual observations and analysis of video recordings of dairy cows in commercial farm environments[J]. Journal of Dairy Science. 2015, 98(3):1750-1758.
[11] Adolfo A R, Ernesto M, Gustavo L, et al.Triaxial accelerometers for recording grazing and ruminating time in dairy cows: An alternative to visual observations[J]. Journal of Veterinary Behavior: Clinical Applications and Research. 2017, 20:102-108.
[12] Weizheng S, Fei C, Yu Z, et al.Automatic recognition of ingestive-related behaviors of dairy cows based on triaxial acceleration[J]. Information Processing in Agriculture. 2020, 7(3):427-443.
[13] Yu J C, Dong J H, Yin X F, et al.Intelligent monitoring method of cow ruminant behavior based on video analysis technology[J]. International Journal of Agriculture and Biological Engineering.2017, 10(5):194-202.
[14] 李通. 基于视频分析的多目标奶牛反刍行为监测方法研究:[硕士论文][D].陕西:西北农林科技大学,2019.
[15] 熊安然,熊本海,蒋林树. 奶牛数字化养殖技术研究进展[J]. 中国乳业,2020(11):29-32.
[16] Tuteja S K, Duffield T, Neethirajan S.Liquid exfoliation of 2D MoS2 nanosheets and their utilization as a label-free electrochemical immunoassay for subclinical ketosis.[J]. Nanoscale,2017, 9(30):10886-10896.
[17] Murugan V, Robert H, Suresh N.Ruthenium dye sensitized graphene oxide electrode for on-farm rapid detection of beta-hydroxybutyrate[J]. Sensors & Actuators: B. Chemical. 2016, 228:180-184.
[18] Hyunwook J, Syed R A, Suresh N, et al. GryphSens: A Smartphone-Based Portable Diagnostic Reader for the Rapid Detection of Progesterone in Milk[J]. Sensors,2017, 17(5):unknown.
[19] Tsai C, Hassan R, Hung H, et al. A rapid blood test to monitor the immune status change of dairy cows and to evaluate their disease risk during the periparturient period[J]. Sensors International,2021, 2: unknown.
[20] Amruta H, Daniel R, Joseph W.Sensor Technology For Animal Health Monitoring[J]. International Journal on Smart Sensing and Intelligent Systems, 2020, 7(5):1-6.
[21] 张德敏,李有志,张淑二,等.奶牛场TMR智能监控系统的开发与应用[J].中国草食动物科学. 2018,38(5):51-54.
[22] 王玄,李源源,侯云涛.犊牛饲喂装置的设计及参数计算[J]. 农业科技与装备. 2018(6):9-11.
[23] 许立新,孙路勇,范淋佳,等.自动化TMR传送带饲喂系统在牛场中的应用[J]. 中国奶牛. 2019(2):38-41.
[24] 袁玉昊,田玉辉,李澳,等.牛场精料撒料及推草机器人设计[J]. 机电工程技术. 2020, 49(12): 101-103.
[25] 李萌. 基于多传感器数据融合的奶牛姿态识别方法的研究:[硕士论文] [D].重庆:重庆邮电大学, 2019.
[26] Reith S, Hoy S.Review: Behavioral signs of estrus and the potential of fully automated systems for detection of estrus in dairy cattle[J]. Animal,2018, 12(2):398-407.
[27] 户如霞,张力,李广臣,等. 应用智能监控系统改善大型牧场奶牛繁殖性能的探讨[J]. 中国奶牛. 2021(2):22-27.
[28] 刘忠超. 奶牛发情体征及行为智能检测技术研究:[博士论文] [D].杨凌:西北农林科技大学,2019.
[29] Randi F, Mcdonald M, Duffy P, et al.The relationship between external auditory canal temperature and onset of estrus and ovulation in beef heifers[J]. Theriogenology,2018, 110:175-181.
[30] Röttgen V, Schön P C, Becker F, et al.Automatic recording of individual oestrus vocalisation in group-housed dairy cattle: development of a cattle call monitor[J]. Animal,2020, 14(1):198-205.
[31] 刘忠超,何东健. 基于卷积神经网络的奶牛发情行为识别方法[J]. 农业机械学报,2019,50(7): 186-193.
[32] 朱俊峰,于书云,林雨鑫,等. 规模奶牛场粪污资源化利用浅析[J]. 中国畜禽种业. 2018, 14(12):106-107.
[33] 倪亚南. 基于ZigBee的物联网奶牛养殖综合管理系统研究与设计[J]. 物联网技术. 2020,10(5): 107-108.
[34] 刘忠超,范伟强,常有周,等. 基于ZigBee和Android的牛舍环境远程监测系统设计[J]. 黑龙江畜牧兽医,2018(17):61-64.
[35] 秦秀常. 基于大数据处理技术的深度学习算法的图像处理优化技术研究[J]. 电子测试,2021(4): 29-31.
[36] Neethirajan S, Kemp B. Digital Livestock Farming[J]. Sensing and Bio-Sensing Research.2021, 32(prepublish):unknown.
[37] 葛宇,杜春晖,李亚杰,等. 大数据环境下多维传感器数据融合算法研究[J]. 现代电子技术,2021,44(7):28-31.
[38] 任秋鸿,彭华. 奶牛养殖:从智慧牧场到智慧牧业,从数据分析到数据应用[J]. 中国乳业,2020(12):79-83.
[39] Akshatha S K, Deepthi S K, Manjunath C R, et al. Impacts of Big Data on Smart Farming[J]. Journal of Trend in Scientific Research and Development,2018, 2(4): unknown.
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