A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations
Dhal, S.B.; Jungbluth, K.; Lin, R.; Sabahi, S.P.; Bagavathiannan, M.; Braga-Neto, U.; Kalafatis, S. A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. Sensors 2022, 22, 3510. https://doi.org/10.3390/s22093510
Dhal SB, Jungbluth K, Lin R, Sabahi SP, Bagavathiannan M, Braga-Neto U, Kalafatis S. A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations. Sensors. 2022; 22(9):3510. https://doi.org/10.3390/s22093510
Chicago/Turabian StyleDhal, Sambandh B., Kyle Jungbluth, Raymond Lin, Seyed P. Sabahi, Muthukumar Bagavathiannan, Ulisses Braga-Neto, and Stavros Kalafatis. 2022. "A Machine-Learning-Based IoT System for Optimizing Nutrient Supply in Commercial Aquaponic Operations" Sensors 22, no. 9: 3510. https://doi.org/10.3390/s22093510