Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring

Implementation of Machine Vision Methods for Cattle Detection and Activity Monitoring

The goal of this research was to implement machine vision algorithms in a cattle stable to detect cattle in stalls and determine their activities. It also focused on finding the optimal hyperparameter settings for training the model, as balancing prediction accuracy, training time, and computational...

Full description

Saved in:
Bibliographic Details
Main Authors: Roman Bumbálek, Tomáš Zoubek, Jean de Dieu Marcel Ufitikirezi, Sandra Nicole Umurungi, Radim Stehlík, Zbyněk Havelka, Radim Kuneš, Petr Bartoš
Format: Article
Language:English
Published: MDPI AG 2025-03-01
Series:Technologies
Subjects:
deep learning in agriculture
YOLOv5
image processing
computer vision
Precision livestock farming
livestock monitoring
Online Access:https://www.mdpi.com/2227-7080/13/3/116
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2227-7080/13/3/116

Similar Items