[1] 李胜利.当前国内外奶业形势分析及中国奶业竞争力提升[J].新疆畜牧业,2017(1):42-44.
[2] 李胜利,曹志军,刘玉满,等.2014年中国奶业回顾与展望[J].中国畜牧杂志,2013,51(2):33-37.
[3] COSTA A,ISMAYILOVA G,BORGONOVO F,et al.Image-processing technique to measure pig activity in response to climatic variation in a pig barn[J].Animal Production Science,2013,54(8):1075-1083.
[4] NASIRAHMADI A,HENSEL O,EDWARDS S A,et al.A new approach for categorizing pig lying behaviour based on a Delaunay triangulation method[J].Animal,2016,11(1):131-139.
[5] PORTO S M C,ARCIDIACONO C,ANGUZZA U,et al.The automatic detection of dairy cow feeding and standing behaviours in free-stall barns by a computer vision-based system[J].Biosystems Engineering,2015,133:46-55.
[6] PLUK A,BAHR C,POURSABERI A,et al.Automatic measurement of touch and release angles of the fetlock joint for lameness detection in dairy cattle using vision techniques[J].Journal of Dairy Science,2012,95(4):1738-1748.
[7] MENDOZA F,DEJMEK P,AGUILERA J M.Calibrated color measurements of agricultural foods using image analysis[J].Postharvest Biology and Technology,2006,41(3):285-295.
[8] BERCOVICH A,EDAN Y,ALCHANATIS V,et al.Development of an automatic cow body condition scoring using body shape signature and Fourier descriptors[J].Journal of Dairy Science,2013,96(12):8047-8059.
[9] MATZNER S,CULLINAN V I,DUBERSTEIN C A.Two-dimensional thermal video analysis of offshore bird and bat flight[J].Ecological Informatics,2015,30:20-28.
[10] HALACHMI I,KLOP?I? M,POLAK P,et al.Automatic assessment of dairy cattle body condition score using thermal imaging[J].Computers and Electronics in Agriculture,2013,99:35-40.
[11] NASIRAHMADI A,EDWARDS S A,STURM B.Implementation of machine vision for detecting behaviour of cattle and pigs[J].Livestock Science,2017,202:25-38.
[12] HAN J G,SHAO L,XU D,et al.Enhanced computer vision with Microsoft Kinect sensor:a review[J].IEEE Transactions on Cybernetics,2013,43(5):1318-1334.
[13] JABBAR K A,HANSEN M F,SMITH M L,et al.Early and non-intrusive lameness detection in dairy cows using 3-dimensional video[J].Biosystems Engineering,2017,153:63-69.
[14] KONGSRO J.Estimation of pig weight using a Microsoft Kinect prototype imaging system[J].Computers and Electronics in Agriculture,2014,109:32-35.
[15] WANG Y,YANG W,WINTER P,et al.Walk-through weighing of pigs using machine vision and an artificial neural network[J].Biosystems Engineering,2008,100(1):117-125.
[16] STAJNKO D,BRUS M,HO?EVAR M.Estimation of bull live weight through thermographically measured body dimensions[J].Computers and Electronics in Agriculture,2008,61(2):233-240.
[17] BURANAKARL C,INDRAMANGALA J,KOOBKAEW K,et al.Estimation of body weight and body surface area in swamp buffaloes using visual image analysis[J].Journal of Buffalo Science,2012,1(1):13-20.
[18] ANGLART D.Automatic estimation of body weight and body condition score in dairy cows using 3D imaging technique[D].Master Thesis.Uppsala:Swedish University of Agricultural Sciences,2010:19-20.
[19] 葛汝方,陈青,霍永久,等.不同代谢蛋白质水平饲粮对8-10月龄后备奶牛生长发育、血液生化指标和体况评分的影响[J].动物营养学报,2015,27(3):910-917.
[20] AZZARO G,CACCAMO M,FERGUSON J D,et al.Objective estimation of body condition score by modeling cow body shape from digital images[J].Journal of Dairy Science,2011,94(4):2126-2137.
[21] BEWLEY J M,PEACOCK A M,LEWIS O,et al.Potential for estimation of body condition scores in dairy cattle from digital images[J].Journal of Dairy Science,2008,91(9):3439-3453.
[22] GUO H,MA X D,MA Q,et al.LSSA_CAU:an interactive 3d point clouds analysis software for body measurement of livestock with similar forms of cows or pigs[J].Computers and Electronics in Agriculture,2017,138:60-68.
[23] FISCHER A,LUGINBVHL T,DELATTRE L,et al.Rear shape in 3 dimensions summarized by principal component analysis is a good predictor of body condition score in Holstein dairy cows[J].Journal of Dairy Science,2015,98(7):4465-4476.
[24] SPOLIANSKY R,EDAN Y,PARMET Y,et al.Development of automatic body condition scoring using a low-cost 3-dimensional Kinect camera[J].Journal of Dairy Science,2016,99(9):7714-7725.
[25] HOVINEN M,SⅡVONEN J,TAPONEN S,et al.Detection of clinical mastitis with the help of a thermal camera[J].Journal of Dairy Science,2008,91(12):4592-4528.
[26] CORTIVO P D,DIAS E,BARCELLOS J O J,et al.Use of thermographic images to detect external parasite load in cattle[J].Computers and Electronics in Agriculture,2016,127:413-417.
[27] SONG X Y,TOON L,ERIK V,et al.Automatic detection of lameness in dairy cattle-Vision-based trackway analysis in cow's locomotion[J].Computers and Electronics in Agriculture,2008,64(1):39-44.
[28] VIOLA P,JONES M J.Robust real-time face detection[J].International Journal of Computer Vision,2004,57(2):137-154.
[29] CANGAR Ö,LEROY T,GUARINO M,et al.Automatic real-time monitoring of locomotion and posture behaviour of pregnant cows prior to calving using online image analysis[J].Computers and Electronics in Agriculture,2008,64(1):53-60.
[30] PORTO S M C,ARCIDIACONO C,ANGUZZA U,et al.A computer vision-based system for the automatic detection of lying behaviour of dairy cows in free-stall barns[J].Biosystems Engineering,2013,115(2):184-194.
[31] 黄君冉,钱东平,王文娣,等.基于图像处理技术的奶牛体型线性评定系统[J].农业机械学报,2007,38(4):111-113,117.
[32] 郭浩,王鹏,马钦,等.基于深度图像的奶牛体型评定指标获取技术[J].农业机械学报,2013,44(增刊1):273-276,229.
[33] 朱坤华,李骞,武书彦.基于三维视觉的荷斯坦奶牛中遗传育种个体的最优选择[J].科技通报,2017,33(2):52-55.
[34] 刘建飞.图像识别技术在奶牛体况评分中的应用研究[D].硕士学位论文.济南:山东大学,2012:49-50.
[35] 王龙.机器视觉在奶牛体况评定中的应用[D].硕士学位论文.上海:东华大学,2014:53-55.
