Aquaculture Monitoring System: A Prescriptive Model
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-6346-1_7
Reference24 articles.
1. Ahmed AN, Othman FB, Afan HA, Ibrahim RK, Fai CM, Hossain MS, Ehteram M, Elshafie A (2019) Machine learning methods for better water quality prediction. J Hydrol 578:124084
2. Azad A, Karami H, Farzin S, Saeedian A, Kashi H, Sayyahi F (2018) Prediction of water quality parameters using ANFIS optimized by intelligence algorithms (case study: Gorganrood river). KSCE J Civ Eng 22:2206–2213
3. Barzegar R, Aalami MT, Adamowski J (2020) Short-term water quality variable prediction using a hybrid CNN-LSTM deep learning model. Stoch Env Res Risk Assess 34(2):415–433
4. Boldt JL, Williams K, Rooper CN, Towler RH, Gauthier S (2018) Development of stereo camera methodologies to improve pelagic fish biomass estimates and inform ecosystem management in marine waters. Fish Res 198:66–77
5. Cao S, Zhou L, Zhang Z (2021) Prediction of dissolved oxygen content in aquaculture based on clustering and improved ELM. IEEE Access 9:40372–40387
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