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Page 1
A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations.
Sensors (Basel). 2022 May 5;22(9):3510. doi: 10.3390/s22093510.
Sensors (Basel). 2022.
PMID: 35591199
Free PMC article.
An IoT-Based Data-Driven Real-Time Monitoring System for Control of Heavy Metals to Ensure Optimal Lettuce Growth in Hydroponic Set-Ups.
Dhal SB, Mahanta S, Gumero J, O'Sullivan N, Soetan M, Louis J, Gadepally KC, Mahanta S, Lusher J, Kalafatis S.
Dhal SB, et al.
Sensors (Basel). 2023 Jan 1;23(1):451. doi: 10.3390/s23010451.
Sensors (Basel). 2023.
PMID: 36617048
Free PMC article.
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Can Machine Learning classifiers be used to regulate nutrients using small training datasets for aquaponic irrigation?: A comparative analysis.
Dhal SB, Bagavathiannan M, Braga-Neto U, Kalafatis S.
Dhal SB, et al.
PLoS One. 2022 Aug 16;17(8):e0269401. doi: 10.1371/journal.pone.0269401. eCollection 2022.
PLoS One. 2022.
PMID: 35972941
Free PMC article.
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