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Cow claws on concrete slats in the waiting area in a dairy barn estimated by use of Image analysis

Ardö, Håkan and Guzhva, Oleksiy and NIlsson, Mikael and Herlin, Anders Henrik (2016). Cow claws on concrete slats in the waiting area in a dairy barn estimated by use of Image analysis. Alnarp, Sweden: (LTJ, LTV) > Department of Biosystems and Technology (from 130101)
(VH) > Department of Biosystems and Technology (from 130101)
, Sveriges lantbruksuniversitet.
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Abstract

Slatted concrete floors are commonly used in dairy barns for aisles, feeding and waiting areas. Maximum slot opening in Sweden is 35 mm with a maximum of 28% opening area for adult cattle in order to provide the adequate claw support. The construction of the slats has to consider this together with the length of the slats and the load from the weight of the animals on the slats. Presently, the dimension of the load strength of slats is based on assumptions and experience. An alternative approach is to estimate the true load of the animals on the slats by observation of animal distribution on slatted floors. The purpose of this study was to investigate possibilities of using machine learning algorithms and image analysis for assessing actual distribution of animals in the areas of interest and maximal weight load per slat element per unit of time. Images for the study were acquired from three surveillance cameras placed in the ceiling above the common waiting area (size 6x18 m) with entrances to four automatic milking systems (AMS). Then images were used to train a convolutional neural net classifier to detect and locate the cows in the images. Then, a probability distribution of where the claws might be located was constructed. By using this distribution in a Monte Carlo simulation, a probability distribution of the number of claws on each slat could be estimated, and from that, a worst-case estimate of the actual weight load was constructed. Results indicate that the 95% percentile number of claws on 160 mm wide slat area (slat width including the opening) was estimated to 3.03 and on a 560 mm slat area width was 5.63. Cows mounting was found in 7 of 9215 (0.2 %) examined pictures. The method proposed in this report was promising and for this purpose and could be used for practical assessment of animal distribution and loading and thus be a part of the dimensioning of construction.

Authors/Creators:Ardö, Håkan and Guzhva, Oleksiy and NIlsson, Mikael and Herlin, Anders Henrik
Title:Cow claws on concrete slats in the waiting area in a dairy barn estimated by use of Image analysis
Year of publishing :December 2016
Depositing date:27 March 2017
Number of Pages:15
Place of Publication:Alnarp, Sweden
Publisher:Department of Biosystems and Technology, Swedish University of Agricultural Sciences.
Language:English
Additional Information:Projektet finansierat av ABetong AB och Partnerskap Alnarp Framtagande av nytt underlag för beräkning av dimensionering av stavarna i breda spaltgolv baserat på verkliga positioner hos kor - pilotstudie nr 881
Publication Type:Report
Article category:Other scientific
Full Text Status:Public
Agris subject categories.:L Animal production > L01 Animal husbandry
N Machinery and buildings > N10 Agricultural structures
Subjects:(A) Swedish standard research categories 2011 > 2 Engineering and Technology > 205 Materials Engineering > Other Materials Engineering
(A) Swedish standard research categories 2011 > 4 Agricultural Sciences > 402 Animal and Dairy Science > Animal and Dairy Science.
Agrovoc terms:dairy cattle, claws, slatted floors, weight, concrete
Keywords:dairy barn flooring, deep learning, weight distribution, standards for concrete, precision livestock farming
URN:NBN:urn:nbn:se:slu:epsilon-e-4057
Permanent URL:
http://urn.kb.se/resolve?urn=urn:nbn:se:slu:epsilon-e-4057
ID Code:14202
Faculty:VH - Faculty of Veterinary Medicine and Animal Science
Department:(LTJ, LTV) > Department of Biosystems and Technology (from 130101)
(VH) > Department of Biosystems and Technology (from 130101)
External funders:Axel and Margaret Ax:son Johnson Foundation
Deposited By: Anders Herlin
Deposited On:29 Mar 2017 14:13
Metadata Last Modified:29 Mar 2017 14:13

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