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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Detalles Bibliográficos
Autores principales: Cowton, Jake, Kyriazakis, Ilias, Plötz, Thomas, Bacardit, Jaume
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2018
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111702/
https://www.ncbi.nlm.nih.gov/pubmed/30072607
http://dx.doi.org/10.3390/s18082521

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6111702/
https://www.ncbi.nlm.nih.gov/pubmed/30072607
http://dx.doi.org/10.3390/s18082521

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