Enhanced mastitis severity classification in dairy cows using DNN and RF: A study on PCA and correlation-based feature selection

Enhanced mastitis severity classification in dairy cows using DNN and RF: A study on PCA and correlation-based feature selection

Mastitis presents a critical challenge in dairy farming, significantly impacting both animal health and economic stability. This study advances mastitis severity classification in Holstein-Friesian cows through an interdisciplinary approach that integrates advanced machine learning methods within a...

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Bibliographic Details
Main Authors: Manar Lashin, Ayman Samir Farid, Abdullah T. Elgammal
Format: Article
Language:English
Published: Elsevier 2024-12-01
Series:Smart Agricultural Technology
Subjects:
Mastitis severity
Deep Neural Networks (DNN)
Random Forests (RF)
Principal Component Analysis (PCA)
Automated veterinary diagnostics
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375524002727
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