Realtime Monitoring of Animal Behavior Using Deep Learning Models

Realtime Monitoring of Animal Behavior Using Deep Learning Models

Accurate monitoring of animal health and behavior is crucial for improving welfare and productivity in livestock management. Traditional observation methods are time-consuming and prone to subjective bias. To address these challenges, we propose an automated system for behavioral pattern using deep...

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Bibliographic Details
Main Authors: Romesa Rao, Salman Qadri, Rao Kashif
Format: Article
Language:English
Published: Università degli Studi di Firenze 2025-07-01
Series:Journal of Agriculture and Environment for International Development
Subjects:
Pose Estimation
Behavior Classifier
ResNet-50
Trajectrory Analysis
Random Forest
Decision Tree
Online Access:https://www.jaeid.it/index.php/jaeid/article/view/16397
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