Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs-Reference-Cited by-同舟云学术

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Using imagery and computer vision as remote monitoring methods for early detection of respiratory disease in pigs

Published:2021-08 Issue: Volume:187 Page:106283
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Jorquera-Chavez Maria,Fuentes Sigfredo,Dunshea Frank R.,Warner Robyn D.,Poblete Tomas,Unnithan Ranjith R.,Morrison Rebecca S.,Jongman Ellen C.

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference30 articles.

1. Barbosa Pereira, C., Czaplik, M., Blazek, V., Leonhardt, S., Teichmann, D., 2018. Monitoring of Cardiorespiratory Signals Using Thermal Imaging: A Pilot Study on Healthy Human Subjects. Sensors 18, 1541.

2. Cheng, J., Chen, X., Xu, L., Wang, Z.J., 2017. Illumination variation-resistant video-based heart rate measurement using joint blind source separation and ensemble empirical mode decomposition. IEEE journal of biomedical and health informatics 21, 1422-1433.

3. A Combined Deep Learning GRU-Autoencoder for the Early Detection of Respiratory Disease in Pigs Using Multiple Environmental Sensors;Cowton;Sensors,2018

4. Cough sound description in relation to respiratory diseases in dairy calves;Ferrari;Preventive Veterinary Medicine,2010

5. Animal challenge models of henipavirus infection and pathogenesis;Geisbert;Henipavirus. Springer,2012

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