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Automated calculation of udder depth and rear leg angle in Holstein-Friesian cows using a multi-Kinect cow scanning system
Automated calculation of udder depth and rear leg angle in Holstein-Friesian cows using a multi-Kinect cow scanning system
- Source :
- Biosystems Engineering. 160:154-169
- Publication Year :
- 2017
- Publisher :
- Elsevier BV, 2017.
-
Abstract
- Low cost off-the-shelf depth sensors Microsoft Kinect have already been used in studies related to body condition determination and lameness detection in dairy cows and the concept of a 3D cow scanning by combining the fields of view of six Kinect cameras being presented. The cow scanner was developed in an effort to remove if possible, the influence of human operators from conformation recording by gathering data on linear descriptive traits using image analysis. In this study, a 3D object recognition pipeline was presented to automatically determine udder and rear leg of cows recorded in free walking. These body parts were then used to calculate the height of the udder bottom above ground and the rear leg angle. Between the manually gathered corresponding conformation recording scores and the calculated traits, medium to high Spearman rank correlation coefficients (0.63 for udder bottom height, 0.67 for rear leg angle) were observed. Between consecutive measurements, the calculating of udder bottom height was highly repeatable (76.9%) and the rear leg angle showed medium repeatability (47.4%) due to variance induced by the phase of the step. Both traits exhibited expected behaviour as udder bottom heights significantly decreased with increasing lactation number and rear legs were significantly straighter in cows with greater sacrum height.
- Subjects :
- 0402 animal and dairy science
Increasing lactation
food and beverages
Soil Science
Monitoring system
04 agricultural and veterinary sciences
Repeatability
040201 dairy & animal science
Above ground
medicine.anatomical_structure
Animal science
Control and Systems Engineering
040103 agronomy & agriculture
medicine
0401 agriculture, forestry, and fisheries
Udder
Agronomy and Crop Science
Dairy cattle
Body condition
Simulation
Food Science
Mathematics
Subjects
Details
- ISSN :
- 15375110
- Volume :
- 160
- Database :
- OpenAIRE
- Journal :
- Biosystems Engineering
- Accession number :
- edsair.doi...........75d010bcf78c2b85eb679f3bf0f004b0
- Full Text :
- https://doi.org/10.1016/j.biosystemseng.2017.06.006