Comparative analysis of data using machine learning algorithms: A hydroponics system use case

Comparative analysis of data using machine learning algorithms: A hydroponics system use case

This paper makes a comparison of machine learning algorithms for the analysis of four hydroponic datasets. Data have been gathered daily from hydroponic systems to predict the output of the hydroponic systems. This research compares the performance of the federated split Learning, Deep neural networ...

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Bibliographic Details
Main Authors: Godwin Idoje, Christos Mouroutoglou, Tasos Dagiuklas, Anastasios Kotsiras, Iqbal Muddesar, Panagiotis Alefragkis
Format: Article
Language:English
Published: Elsevier 2023-08-01
Series:Smart Agricultural Technology
Subjects:
Federated split learning
Nutrient Film Technic
Aggregate
Aeroponics
Floating hydroponics
Mean absolute error
Online Access:http://www.sciencedirect.com/science/article/pii/S2772375523000370

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http://www.sciencedirect.com/science/article/pii/S2772375523000370

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