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All Journal Journal of Information Technology and Computer Engineering
Zurnawita Zurnawita
Universitas Andalas; Politeknik Negeri Padang
Computer Science & IT Control & Systems Engineering Electrical & Electronics Engineering Engineering

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A review of Image Processing Technique for Monitoring The Growth and Health of Cows Zurnawita Zurnawita; Cipto Prabowo; Rahmadi Kurnia; Ikhwana Elfitri
JITCE (Journal of Information Technology and Computer Engineering) Vol 7 No 01 (2023): Journal of Information Technology and Computer Engineering
Publisher : Universitas Andalas

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.25077/jitce.7.01.8-18.2023

Abstract

In general, monitoring of animal growth and health is done directly by farmers (invasive measurement methods) which can cause cows to be injured or experience stress. To avoid this, several studies have been conducted on non-invasive methods using image processing technology. In this study, we systematically reviewed several works of literature to identify and synthesize published articles on image processing technology and image processing applications related to weight estimation and individual cattle identification. Analysis of image processing technologies used for weight estimation and individual cattle identification is the main objective of this article. Articles were searched through several databases and studies that met the inclusion criteria were analyzed and used in the review. The studies were divided into three main themes: image processing technologies, applications using image processing, and image processing research on cattle growth and health. It can be concluded that deep learning approaches are increasingly being studied, tested and considered as a viable and promising approach to monitor cattle weight and health in several aspects
Co-Authors Cipto Prabowo Elfitri, Ikhwana Rahmadi Kurnia