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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.
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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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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Stem Rot of Pearl Millet Prevalence, Symptomatology, Disease Cycle, Disease Rating Scale and Pathogen Characterization in Pearl Millet-Klebsiella Pathosystem.
Malik VK, Sangwan P, Singh M, Kumari P, Shoeran N, Ahalawat N, Kumar M, Deep H, Malik K, Verma P, Yadav P, Kumari S, Aakash, Dhal S.
Malik VK, et al.
Plant Pathol J. 2024 Feb;40(1):48-58. doi: 10.5423/PPJ.OA.09.2023.0126. Epub 2024 Feb 1.
Plant Pathol J. 2024.
PMID: 38326958
Free PMC article.
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