[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.