China Dairy ›› 2021, Vol. 0 ›› Issue (8): 60-67.doi: 10.12377/1671-4393.21.08.12

Previous Articles     Next Articles

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

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.
[1] KONG Ling. Prepositional Reconsideration:Institutional Choice under the Role of Main Channel——A better way to resolve administrative disputes in the dairy industry [J]. China Dairy, 2023, 0(3): 20-24.
[2] DONG Xiaoxia, ZHANG Chao, LIU Hao, PENG Hua. Study on the Benefit Linkage Mechanism Between the Top 20 Global Dairy Enterprises and Dairy Farmers [J]. China Dairy, 2023, 0(3): 25-32.
[3] HOU Junwei, ZHAO Heng. Market Analysis of Dairy Industry in the Fourth Quarter of 2022 [J]. China Dairy, 2023, 0(1): 2-8.
[4] LIU Xiujuan, WANG Ruoying, CUI Pengcheng. Comparative Study on Technical Efficiency of Dairy Industry in Hebei Province [J]. China Dairy, 2023, 0(1): 14-19.
[5] HOU Junwei, ZHAO Heng. Analysis of the Seven Major Trends of China's Dairy Industry in 2022 [J]. China Dairy, 2022, 0(6): 2-6.
[6] LIU li, WANG Tao, HUA shi, LI Jing Fang, XU Min. The Influence of the "Student Milk Program" on the Construction of Milk Source Base in Xinjiang [J]. China Dairy, 2022, 0(4): 13-18.
[7] CHEN Ruxuan, JI LU, ZHANG Shurong, Ma Yi. Current Situation of China's Dairy Trade From the Perspective of the Whole Industry Chain [J]. China Dairy, 2022, 0(2): 2-7.
[8] HUA Shi, HU Yongqing. Problems and Countermeasures in the Development of Dairy Industry in Xinjiang [J]. China Dairy, 2022, 0(2): 14-21.
[9] YANG Xiaolan, WANG Linying, XU Da. Study on the Development Status,Problems and Countermeasures of Ningxia Scale Dairy Farms——Take Ningxia a Dairy Company as an Example [J]. China Dairy, 2022, 0(12): 11-15.
[10] LI Jialing. Visual Analysis of the Dairy Industry Tax Law Literature [J]. China Dairy, 2022, 0(12): 16-20.
[11] HAO Xiaoyan, WANG Yongmei, FANG Ying. Analysis of the Evolution of Incentive Regulatory Policies for Dairy Industry Safety in China [J]. China Dairy, 2022, 0(11): 16-23.
[12] LI Jialei, SUN Ruxue, ZHANG Qiuting, ZHANG Yanxin, LI Tong. Research and Analysis of Hebei Dairy Industry Competitiveness Based on Stochastic Frontier Function Model [J]. China Dairy, 2022, 0(11): 24-33.
[13] HOU Junwei, ZHAO Heng. Market Analysis of Dairy Industry in the Third Quarter of 2022 [J]. China Dairy, 2022, 0(10): 2-9.
[14] CHEN Ruxuan, ZHANG Shurong, MA Yi. Analysis on the Development Status and Suggestions of Modern Urban Dairy [J]. China Dairy, 2022, 0(1): 23-27.
[15] YUAN Guojun, YAN Chao, ZHOU Lei. Investigation Report on High Quality Development of Dairy Industry in Wuzhong City,Ningxia Province [J]. China Dairy, 2022, 0(1): 28-32.
Viewed
Full text


Abstract

Cited

  Shared   
  Discussed   
No Suggested Reading articles found!