Open AccessComputer vision-based techniques for cow object recognition
Author(s) -
Rotimi-Williams Bello,
Ahmad Sufril Azlan Mohamed,
Abdullah Zawawi Talib,
D A Olubummo,
O C Enuma
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.179
H-Index - 26
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/858/1/012008
Subject(s) - computer science , livestock , consistency (knowledge bases) , productivity , computer vision , artificial intelligence , agriculture , object (grammar) , tracking (education) , geography , economics , psychology , pedagogy , archaeology , forestry , macroeconomics
The productivity of livestock farming depends on the welfare of the livestock. This can be achieved by physically and constantly monitoring their behaviors and activities by human experts. However, the degree of having high accuracy and consistency with manual monitoring in a commercial farm is herculean, and in most cases impractical. Hence, there is a need for a method that can overcome the challenges. Proposed in this paper, therefore, is the cow detection and monitoring method using computer vision techniques. The proposed method is capable of tracking and identifying cow objects in video experiments, thereby actualizing precision livestock farming. The method generates reasonable results when compared to other methods.