精准养殖中奶牛个体信息监测研究现状及进展
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摘要
奶牛养殖业是我国国民经济的重要组成部分,为了适应大规模、集约化奶牛养殖的发展需求,将自动化和信息化应用于奶牛养殖,通过精准养殖实时监测获取奶牛个体信息,实现奶牛养殖的信息化,可以提高奶牛的繁殖率和经济效益。笔者对国内外奶牛个体信息监测的研究现状进行了分析,重点阐述了奶牛行为监测、健康监测、个体识别的应用研究现状,讨论了相关研究目前存在的问题,并展望了奶牛个体信息监测技术的后续研究方向,即精准化、信息化、智能化。
Dairy cattle breeding industry is an important part of China's national economy. In order to meet the requirements of large-scale and intensive dairy cattle breeding, automation and information technology are applied to dairy cattle breeding. Individual information of dairy cattle can be obtained through accurate real-time monitoring of dairy cattle breeding to realize the informatization of dairy cattle breeding, which can improve the reproductive rate and economic benefits of dairy cattle. This paper analyzed the research status of individual information monitoring of dairy cows at home and abroad, focused on the application research status of behavior monitoring, health monitoring and individual identification of dairy cows, discussed the existing problems of related research status, and looked forward to the follow-up research direction of individual information monitoring technology of dairy cows.It shows that the precision, information and intelligence are the development direction of dairy cow breeding in the future.
Dairy cattle breeding industry is an important part of China's national economy. In order to meet the requirements of large-scale and intensive dairy cattle breeding, automation and information technology are applied to dairy cattle breeding. Individual information of dairy cattle can be obtained through accurate real-time monitoring of dairy cattle breeding to realize the informatization of dairy cattle breeding, which can improve the reproductive rate and economic benefits of dairy cattle. This paper analyzed the research status of individual information monitoring of dairy cows at home and abroad, focused on the application research status of behavior monitoring, health monitoring and individual identification of dairy cows, discussed the existing problems of related research status, and looked forward to the follow-up research direction of individual information monitoring technology of dairy cows.It shows that the precision, information and intelligence are the development direction of dairy cow breeding in the future.
引文
[1] 陈长喜,张宏福,王兆毅,等.畜禽健康养殖预警体系研究与应用[J].农业工程学报,2010,26(11):215-220.
[2] 何东健,刘冬,赵凯旋.精准畜牧业中动物信息智能感知与行为检测研究进展[J].农业机械学报,2016,47(5):231-244.
[3] 蒋晓新,卫星远,邓双义,等.北方季节对荷斯坦奶牛步履数与发情周期相关性研究[J].黑龙江畜牧兽医,2014(07上):84-86.
[4] 沈明霞,刘龙申,闫丽,等.畜禽养殖个体信息监测技术研究进展[J].农业机械学报,2014,45(10):245-251.
[5] 杨玉芹.奶牛的发情鉴定[J].青海畜牧兽医杂志,2007(4):65.
[6] AT-TARAS E E,SPAHR S L.Detection and characterization of estrus in dairy cattle with an electronic heatmount detector and an electronic activity tag[J].J Dairy Sci,2001,84(4):792-798.
[7] 李栋.中国奶牛养殖模式及其效率研究[D].北京:中国农业科学院,2013.
[8] 张俊辉,顾宪红.奶牛健康监测与评价[J].中国奶牛,2013(20):34-38.
[9] SUTHAR V S,BURFEIND O,PATEL J S,et al.Body temperature around induced estrus in dairy cows[J].J Dairy Sci,2011,94(5):2368-2373.
[10] 田富洋,王冉冉,刘莫尘,等.基于神经网络的奶牛发情行为辨识与预测研究[J].农业机械学报,2013,44(s1):277-281.
[11] L?VENDAHL P,CHAGUNDA M G.On the use of physical activity monitoring for estrus detection in dairy cows[J].J Dairy Sci,2010,93(1):249-259.
[12] 赵恒,赵增友.一种奶牛脊背便携太阳能体温主动被动爬跨发情报警器:中国,CN203762045U[P].2014-08-13.
[13] YEON S C,JEON J H,HOUPT K A,et al.Acoustic features of vocalizations of Korean native cows (Bos taurus coreanea) in two different conditions[J].Appl Anim Behav Sci,2006,101(1):1-9.
[14] DEL FRESNO M,MACCHI A,MARTI Z,et al.Application of color image segmentation to estrusc detection[J].J Vis (Japan),2006,9(2):171-178.
[15] TSAI D,HUANG C.A motion and image analysis method for automatic detection of estrus and mating behavior in cattle[J].Comput Electron Agric,2014,104:25-31.
[16] 田富洋,李法德,李晋阳,等.奶牛采食量检测仪的设计与技术研究[J].仪器仪表学报,2007,28(2):293-297.
[17] 吴洪宇,王晓帆,张永根.奶牛个体采食量测定仪的设计与试验[J].饲料工业,2015,36(19):57-61.
[18] 宋怀波,李通,姜波,等.基于Horn-Schunck光流法的多目标反刍奶牛嘴部自动监测[J].农业工程学报,2018,34(10):163-171.
[19] BRAUN U,TR?SCH L,NYDEGGER F,et al.Evaluation of eating and rumination behaviour in cows using a noseband pressure sensor[J].BMC Vet Res,2013,9(1):164-170.
[20] CHEN Y,HE D,FU Y,et al.Intelligent monitoring method of cow ruminant behavior based on video analysis technology[J].Int J Agri Biolog Eng,2017,10(5):194-202.
[21] 刘忠超,范伟强,何东健.奶牛体温检测研究进展[J].黑龙江畜牧兽医,2018(19):41-44.
[22] 刘忠超,范伟强,张会娟,等.基于Android的奶牛体温实时远程监测系统的设计[J].黑龙江畜牧兽医,2017(12上):6-9,282-283.
[23] EIGENBERG R A,BRANDL B T,NINEABER J A.Sensors for dynamic physiological measurements[J].Comput Electron Agric,2008,62(1):41-47.
[24] MARTINEZ A,SCHOENIG S,ANDRESEN D,et al.Ingestible pill for heart rate and core temperature measurement in cattle[J].Conf Proc IEEE Eng Med Biol Soc,2006:3190-3193.
[25] WARREN S,MARTINEZ A,SOBERING T,et al.Electrocardiographic pill for cattle heart rate determination[J].Conf Proc IEEE Eng Med Biol Soc,2008:4852-4855.
[26] 赵凯旋,何东健,王恩泽.基于视频分析的奶牛呼吸频率与异常检测[J].农业机械学报,2014,45(10):258-263.
[27] LEE Y,BOK J D,LEE H J,et al.Body temperature monitoring using subcutaneously implanted thermo-loggers from holstein steers[J].Asian-Australas J Anim Sci,2016,29(2):299-306.
[28] 何东健,刘畅,熊虹婷.奶牛体温植入式传感器与实时监测系统设计与试验[J].农业机械学报,2018,49(12):195-202.
[29] IKEDA Y,ISHII Y.Recognition of two psychological conditions of a single cow by her voice[J].Comput Electron Agric,2008,62(1):67-72.
[30] JAHNS G.Call recognition to identify cow conditions-a call-recogniser translating calls to text[J].Comput Electron Agric,2008,62(1):54-58.
[31] FERRARI S,PICCININI R,SILVA M,et al.Cough sound description in relation to respiratory diseases in dairy calves[J].Prev Vet Med,2010,96(3):276-280.
[32] 赵凯旋,何东健.基于卷积神经网络的奶牛个体身份识别方法[J].农业工程学报,2015,31(5):181-187.
[2] 何东健,刘冬,赵凯旋.精准畜牧业中动物信息智能感知与行为检测研究进展[J].农业机械学报,2016,47(5):231-244.
[3] 蒋晓新,卫星远,邓双义,等.北方季节对荷斯坦奶牛步履数与发情周期相关性研究[J].黑龙江畜牧兽医,2014(07上):84-86.
[4] 沈明霞,刘龙申,闫丽,等.畜禽养殖个体信息监测技术研究进展[J].农业机械学报,2014,45(10):245-251.
[5] 杨玉芹.奶牛的发情鉴定[J].青海畜牧兽医杂志,2007(4):65.
[6] AT-TARAS E E,SPAHR S L.Detection and characterization of estrus in dairy cattle with an electronic heatmount detector and an electronic activity tag[J].J Dairy Sci,2001,84(4):792-798.
[7] 李栋.中国奶牛养殖模式及其效率研究[D].北京:中国农业科学院,2013.
[8] 张俊辉,顾宪红.奶牛健康监测与评价[J].中国奶牛,2013(20):34-38.
[9] SUTHAR V S,BURFEIND O,PATEL J S,et al.Body temperature around induced estrus in dairy cows[J].J Dairy Sci,2011,94(5):2368-2373.
[10] 田富洋,王冉冉,刘莫尘,等.基于神经网络的奶牛发情行为辨识与预测研究[J].农业机械学报,2013,44(s1):277-281.
[11] L?VENDAHL P,CHAGUNDA M G.On the use of physical activity monitoring for estrus detection in dairy cows[J].J Dairy Sci,2010,93(1):249-259.
[12] 赵恒,赵增友.一种奶牛脊背便携太阳能体温主动被动爬跨发情报警器:中国,CN203762045U[P].2014-08-13.
[13] YEON S C,JEON J H,HOUPT K A,et al.Acoustic features of vocalizations of Korean native cows (Bos taurus coreanea) in two different conditions[J].Appl Anim Behav Sci,2006,101(1):1-9.
[14] DEL FRESNO M,MACCHI A,MARTI Z,et al.Application of color image segmentation to estrusc detection[J].J Vis (Japan),2006,9(2):171-178.
[15] TSAI D,HUANG C.A motion and image analysis method for automatic detection of estrus and mating behavior in cattle[J].Comput Electron Agric,2014,104:25-31.
[16] 田富洋,李法德,李晋阳,等.奶牛采食量检测仪的设计与技术研究[J].仪器仪表学报,2007,28(2):293-297.
[17] 吴洪宇,王晓帆,张永根.奶牛个体采食量测定仪的设计与试验[J].饲料工业,2015,36(19):57-61.
[18] 宋怀波,李通,姜波,等.基于Horn-Schunck光流法的多目标反刍奶牛嘴部自动监测[J].农业工程学报,2018,34(10):163-171.
[19] BRAUN U,TR?SCH L,NYDEGGER F,et al.Evaluation of eating and rumination behaviour in cows using a noseband pressure sensor[J].BMC Vet Res,2013,9(1):164-170.
[20] CHEN Y,HE D,FU Y,et al.Intelligent monitoring method of cow ruminant behavior based on video analysis technology[J].Int J Agri Biolog Eng,2017,10(5):194-202.
[21] 刘忠超,范伟强,何东健.奶牛体温检测研究进展[J].黑龙江畜牧兽医,2018(19):41-44.
[22] 刘忠超,范伟强,张会娟,等.基于Android的奶牛体温实时远程监测系统的设计[J].黑龙江畜牧兽医,2017(12上):6-9,282-283.
[23] EIGENBERG R A,BRANDL B T,NINEABER J A.Sensors for dynamic physiological measurements[J].Comput Electron Agric,2008,62(1):41-47.
[24] MARTINEZ A,SCHOENIG S,ANDRESEN D,et al.Ingestible pill for heart rate and core temperature measurement in cattle[J].Conf Proc IEEE Eng Med Biol Soc,2006:3190-3193.
[25] WARREN S,MARTINEZ A,SOBERING T,et al.Electrocardiographic pill for cattle heart rate determination[J].Conf Proc IEEE Eng Med Biol Soc,2008:4852-4855.
[26] 赵凯旋,何东健,王恩泽.基于视频分析的奶牛呼吸频率与异常检测[J].农业机械学报,2014,45(10):258-263.
[27] LEE Y,BOK J D,LEE H J,et al.Body temperature monitoring using subcutaneously implanted thermo-loggers from holstein steers[J].Asian-Australas J Anim Sci,2016,29(2):299-306.
[28] 何东健,刘畅,熊虹婷.奶牛体温植入式传感器与实时监测系统设计与试验[J].农业机械学报,2018,49(12):195-202.
[29] IKEDA Y,ISHII Y.Recognition of two psychological conditions of a single cow by her voice[J].Comput Electron Agric,2008,62(1):67-72.
[30] JAHNS G.Call recognition to identify cow conditions-a call-recogniser translating calls to text[J].Comput Electron Agric,2008,62(1):54-58.
[31] FERRARI S,PICCININI R,SILVA M,et al.Cough sound description in relation to respiratory diseases in dairy calves[J].Prev Vet Med,2010,96(3):276-280.
[32] 赵凯旋,何东健.基于卷积神经网络的奶牛个体身份识别方法[J].农业工程学报,2015,31(5):181-187.