Developing an Ensembled Machine Learning Prediction Model for Marine Fish and Aquaculture Production

Developing an Ensembled Machine Learning Prediction Model for Marine Fish and Aquaculture Production

The fishing industry is identified as a strategic sector to raise domestic protein production and supply in Malaysia. Global changes in climatic variables have impacted and continue to impact marine fish and aquaculture production, where machine learning (ML) methods are yet to be extensively used t...

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Bibliographic Details
Main Authors: Labonnah Farzana Rahman, Mohammad Marufuzzaman, Lubna Alam, Md Azizul Bari, Ussif Rashid Sumaila, Lariyah Mohd Sidek
Format: Article
Language:English
Published: MDPI AG 2021-08-01
Series:Sustainability
Subjects:
climate change
machine learning
marine fish
marine aquaculture
feature importance
Online Access:https://www.mdpi.com/2071-1050/13/16/9124

Internet

https://www.mdpi.com/2071-1050/13/16/9124

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