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...
Main Authors: | Godwin Idoje, Christos Mouroutoglou, Tasos Dagiuklas, Anastasios Kotsiras, Iqbal Muddesar, Panagiotis Alefragkis |
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Format: | Article |
Language: | English |
Published: |
Elsevier
2023-08-01
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Series: | Smart Agricultural Technology |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S2772375523000370 |
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