Application of the Machine Learning Methods to Assess the Impact of physico-chemical characteristics of water on Feed Consumption in Fish Farms

Machine learning (ML) methods, which are one of the subfields of artificial intelligence (AI) and have gained popularity in applications in recent years, play an important role in solving many challenges in aquaculture. In this study, the relationship between changes in the physico-chemical characte...

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Bibliographic Details

Published in:	Journal of Agricultural Sciences
Main Authors:	Hava Şimşek, Mükerrem Oral, Mesut Yılmaz, Mustafa Çakır, Nedim Özdemir, Okan Oral
Format:	Article
Language:	English
Published:	Ankara University 2025-01-01
Subjects:	aquaculture feed intake artificial intelligence rainbow trout sustainability
Online Access:	https://dergipark.org.tr/en/download/article-file/3870094