Unsupervised Anomaly Detection with Continuous-Time Model for Pig Farm Environmental Data

Unsupervised Anomaly Detection with Continuous-Time Model for Pig Farm Environmental Data

Environmental air anomaly detection is crucial for ensuring the healthy growth of livestock in smart pig farming systems. This study focuses on four key environmental variables within pig housing: temperature, relative humidity, carbon dioxide concentration, and ammonia concentration. Based on these...

Full description

Saved in:
Bibliographic Details
Main Authors: Heng Zhou, Seyeon Chung, Malik Muhammad Waqar, Muhammad Ibrahim Zain Ul Abideen, Arsalan Ahmad, Muhammad Ans Ilyas, Hyongsuk Kim, Sangcheol Kim
Format: Article
Language:English
Published: MDPI AG 2025-06-01
Series:Agriculture
Subjects:
smart farming
anomaly detection
continuous-time model
Online Access:https://www.mdpi.com/2077-0472/15/13/1419
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://www.mdpi.com/2077-0472/15/13/1419

Similar Items