Implementation of machine vision for detecting behaviour of cattle and pigs

被引:141
作者
Nasirahmadi, Abozar [1 ,2 ]
Edwards, Sandra A. [1 ]
Sturm, Barbara [1 ,2 ]
机构
[1] Newcastle Univ, Sch Agr Food & Rural Dev, Newcastle Upon Tyne NE1 7RU, Tyne & Wear, England
[2] Univ Kassel, Dept Agr & Biosyst Engn, D-37213 Witzenhausen, Germany
关键词
Behaviour; Cattle; Machine vision; Pig; Precision livestock farming; BODY CONDITION SCORE; PROTOTYPE IMAGING-SYSTEM; GROWING-FINISHING PIGS; GROUP-HOUSED PIGS; FREE-STALL BARNS; DAIRY-COWS; INFRARED THERMOGRAPHY; FEEDING-BEHAVIOR; AUTOMATIC DETECTION; LYING BEHAVIOR;
D O I
10.1016/j.livsci.2017.05.014
中图分类号
S8 [畜牧、 动物医学、狩猎、蚕、蜂];
学科分类号
0905 ;
摘要
Livestock production to provide food for a growing world population, with increasing demand for meat and milk products, has led to a rapid growth in the scale of cattle and pig enterprises globally. However, consumers and the wider society are also increasingly concerned about the welfare, health and living conditions of farm animals. Awareness of animal needs underpins new production standards for animal health and welfare. Pig and cattle behaviour can provide information about their barn environmental situation, food and water adequacy, health, welfare and production efficiency. Real-time scoring of cattle and pig behaviours is challenging, but the increasing availability and sophistication of technology makes automated monitoring of animal behaviour practicable. Machine vision techniques, as novel technologies, can provide an automated, non-contact, non stress and cost-effective way to achieve animal behaviour monitoring requirements. This review describes the state of the art in 3D imaging systems (i.e. depth sensor and time of flight cameras) along with 2D cameras for effectively identifying livestock behaviours, and presents automated approaches for monitoring and investigation of cattle and pig feeding, drinking, lying, locomotion, aggressive and reproductive behaviours. The performance of developed systems is reviewed in terms of sensitivity, specificity, accuracy, error rate and precision. These technologies can support the farmer by monitoring normal behaviours and early detection of abnormal behaviours in large scale enterprises.
引用
收藏
页码:25 / 38
页数:14
相关论文
共 153 条
[11]   Development of an automatic cow body condition scoring using body shape signature and Fourier descriptors [J].
Bercovich, A. ;
Edan, Y. ;
Alchanatis, V. ;
Moallem, U. ;
Parmet, Y. ;
Honig, H. ;
Maltz, E. ;
Antler, A. ;
Halachmi, I. .
JOURNAL OF DAIRY SCIENCE, 2013, 96 (12) :8047-8059
[12]   Potential for estimation of body condition scores in dairy cattle from digital images [J].
Bewley, J. M. ;
Peacock, A. M. ;
Lewis, O. ;
Boyce, R. E. ;
Roberts, D. J. ;
Coffey, M. P. ;
Kenyon, S. J. ;
Schutz, M. M. .
JOURNAL OF DAIRY SCIENCE, 2008, 91 (09) :3439-3453
[13]   Influence of milk yield, stage of lactation, and body condition on dairy cattle lying behaviour measured using an automated activity monitoring sensor [J].
Bewley, Jeffrey M. ;
Boyce, Robert E. ;
Hockin, Jeremy ;
Munksgaard, Lene ;
Eicher, Susan D. ;
Einstein, Mark E. ;
Schutz, Michael M. .
JOURNAL OF DAIRY RESEARCH, 2010, 77 (01) :1-6
[14]  
Botreau R, 2007, ANIM WELFARE, V16, P225
[15]  
Bracke MBM, 2011, ANIM WELFARE, V20, P347
[16]   Determination of live weight of pigs from dimensions measured using image analysis [J].
Brandl, N ;
Jorgensen, E .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 1996, 15 (01) :57-72
[17]   Investigation of distances covered by fattening pigs measured with VideoMotionTracker® [J].
Brendle, Julia ;
Hoy, Steffen .
APPLIED ANIMAL BEHAVIOUR SCIENCE, 2011, 132 (1-2) :27-32
[18]   Behaviour and welfare in relation to pathology [J].
Broom, DM .
APPLIED ANIMAL BEHAVIOUR SCIENCE, 2006, 97 (01) :73-83
[19]   Analysis of feeding behavior of group housed growing-finishing pigs [J].
Brown-Brandl, T. M. ;
Rohrer, G. A. ;
Eigenberg, R. A. .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2013, 96 :246-252
[20]   Using thermal imaging as a method of investigating thermal thresholds in finishing pigs [J].
Brown-Brandl, Tami M. ;
Eigenberg, Roger A. ;
Purswell, Joseph L. .
BIOSYSTEMS ENGINEERING, 2013, 114 (03) :327-333