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Advancing Crayfish Disease Detection: A Comparative Study of Deep Learning and Canonical Machine Learning Techniques

This study evaluates the effectiveness of deep learning and canonical machine learning models for detecting diseases in crayfish from an imbalanced dataset. In this study, measurements such as weight, size, and gender of healthy and diseased crayfish individuals were taken, and at least five photogr...

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Kaydedildi:
Asıl Yazarlar: Yasin Atilkan, Berk Kirik, Koray Acici, Recep Benzer, Fatih Ekinci, Mehmet Serdar Guzel, Semra Benzer, Tunc Asuroglu
Materyal Türü: Artigo
Dil:Inglês
Baskı/Yayın Bilgisi: MDPI AG 2024-07-01
Seri Bilgileri:Applied Sciences
Konular:
crayfish
disease detection
sustainability
machine learning
deep learning
Online Erişim:https://www.mdpi.com/2076-3417/14/14/6211
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