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...
Saved in:
Main Authors: | Hava Şimşek, Mükerrem Oral, Mesut Yılmaz, Mustafa Çakır, Nedim Özdemir, Okan Oral |
---|---|
Format: | Article |
Language: | English |
Published: |
Faculty of Agriculture, Ankara University
2025-01-01
|
Series: | Journal of Agricultural Sciences |
Subjects: | |
Online Access: | https://dergipark.org.tr/en/download/article-file/3870094 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Comparison of the fungal contamination in Rainbow trout feed in farms located in fields and mountains
by: Donya Nikaein, et al.
Published: (2024-06-01) -
The effect of continuous and pulse feeding Lactiplantibacillus plantarum on growth performance, gut microbiota, immunological, haematological and plasma biochemical parameters of rainbow trout Oncorhynchus mykiss
by: Ivana Mikulíková, et al.
Published: (2025-12-01) -
Fish active packaging with ZnO/Fe-MMT nanoparticles
by: Kaveh Rahmanifarah, et al.
Published: (2025-01-01) -
The effect of ethanol extract of Aloysia triphylla on anesthesia and improve the physiological parameters of rainbow trout (Oncorhynchus mykiss) after transfer
by: Ali Hajibeglou, et al.
Published: (2023-09-01) -
Amine modified sodium alginate: Synthesis, characterization and in vivo evaluation in rainbow trout (Oncorhynchus mykiss)
by: Samira Salarvand, et al.
Published: (2025-03-01)