QR kód

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...

Celý popis

Uloženo v:
Hlavní autoři: Yasin Atilkan, Berk Kirik, Koray Acici, Recep Benzer, Fatih Ekinci, Mehmet Serdar Guzel, Semra Benzer, Tunc Asuroglu
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2024-07-01
Edice:Applied Sciences
Témata:
crayfish
disease detection
sustainability
machine learning
deep learning
On-line přístup:https://www.mdpi.com/2076-3417/14/14/6211
Tagy: Přidat tag
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!

Podobné jednotky