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Estimating Body Condition Score of Cows from Images with the Newly Developed Approach

http://hdl.handle.net/20.500.12678/0000005411
32356017-3315-4022-aa16-81f2b3195a0c
669b63d9-0b03-400c-a94c-d3cfdae2d6f9
Publication type
Conference paper
Upload type
Publication
Title
Title Estimating Body Condition Score of Cows from Images with the Newly Developed Approach
Language en
Publication date 2017-06-28
Authors
Nay Chi Lynn
Zin Mar Kyu
Thi Thi Zin
Ikuo Kobayashi
Description
The Body Condition Score (BCS) is the level of
energy reserves in many species, including dairy cattle. For the
exact management on dairy farms, the judgment process of BCS
is critically important. In this study, the implementation of
newly developed approach to estimate body condition score is
proposed. Back view images of the cow were used in this
system. The area around the tailhead and left and right hooks
are segmented automatically and then classified that region for
estimating the body condition score. The three main steps
conducted are (1) segmentation of cows’ images, (2) extraction
of region of interest (ROI) by using the convex hull method, and
(3) calculation of parameter using moving average method. To
confirm this new approach, back view images of various cow
types are used and the experimental results confirm its
effectiveness with accurate results.
Keywords
Body Condition Score (BCS), Region of interest (ROI), Convex hull method, Moving average, Segmentation
Conference papers
SNPD 2017
26-28 June, 2017
18th IEEE/ ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/ Distributed Computing
Kanazawa, Japan
https://ieeexplore.ieee.org/document/8022705
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