A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors

We designed and evaluated an assumption-free, deep learning-based methodology for animal health monitoring, specifically for the early detection of respiratory disease in growing pigs based on environmental sensor data. Two recurrent neural networks (RNNs), each comprising gated recurrent units (GRU...

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Bibliographic Details
Main Authors: Jake Cowton, Ilias Kyriazakis, Thomas Plötz, Jaume Bacardit
Format: Article
Language:English
Published: MDPI AG 2018-08-01
Series:Sensors
Subjects:
anomaly detection
deep learning
sensors
GRU
pig
health
disease
Online Access:http://www.mdpi.com/1424-8220/18/8/2521

Internet

http://www.mdpi.com/1424-8220/18/8/2521

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