Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification

Towards Early Poultry Health Prediction through Non-Invasive and Computer Vision-Based Dropping Classification

The use of artificial intelligence techniques with advanced computer vision techniques offers great potential for non-invasive health assessments in the poultry industry. Evaluating the condition of poultry by monitoring their droppings can be highly valuable as significant changes in consistency an...

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Bibliographic Details
Main Authors: Arnas Nakrosis, Agne Paulauskaite-Taraseviciene, Vidas Raudonis, Ignas Narusis, Valentas Gruzauskas, Romas Gruzauskas, Ingrida Lagzdinyte-Budnike
Format: Article
Language:English
Published: MDPI AG 2023-09-01
Series:Animals
Subjects:
poultry
droppings
computer vision
deep learning
segmentation
classification
Online Access:https://www.mdpi.com/2076-2615/13/19/3041

Internet

https://www.mdpi.com/2076-2615/13/19/3041

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