Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network

J Yang, L Jia, Z Guo, Y Shen, X Li, Z Mou, K Yu… - … Applications of Artificial …, 2023 - Elsevier
Abstract In the Recirculating Aquaculture Systems (RAS), the control of water quality indices
remains essential to survival and growth of aquaculture objects. This requires effect …

Water quality prediction for smart aquaculture using hybrid deep learning models

KPRA Haq, VP Harigovindan - Ieee Access, 2022 - ieeexplore.ieee.org
Water quality prediction (WQP) plays an essential role in water quality management for
aquaculture to make aquaculture production profitable and sustainable. In this work, we …

Accurate prediction scheme of water quality in smart mariculture with deep Bi-S-SRU learning network

J Liu, C Yu, Z Hu, Y Zhao, Y Bai, M Xie, J Luo - Ieee Access, 2020 - ieeexplore.ieee.org
In the smart mariculture, the timely and accurate predictions of water quality can help
farmers take countermeasures before the ecological environment deteriorates seriously …

Research on a dissolved oxygen prediction method for recirculating aquaculture systems based on a convolution neural network

X Ta, Y Wei - Computers and Electronics in Agriculture, 2018 - Elsevier
Dissolved oxygen is the most critical parameter to be controlled in Recirculating Aquaculture
Systems strictly to maintain healthy conditions for aquatic products. Because of the lag …

Water quality prediction model combining sparse auto-encoder and LSTM network

Z Li, F Peng, B Niu, G Li, J Wu, Z Miao - IFAC-PapersOnLine, 2018 - Elsevier
In order to improve the prediction accuracy of dissolved oxygen in aquaculture, a hybrid
model based on sparse auto-encoder (SAE) and long-short-term memory network (LSTM) is …

A water quality prediction method based on the deep LSTM network considering correlation in smart mariculture

Z Hu, Y Zhang, Y Zhao, M Xie, J Zhong, Z Tu, J Liu - Sensors, 2019 - mdpi.com
An accurate prediction of cage-cultured water quality is a hot topic in smart mariculture.
Since the mariculturing environment is always open to its surroundings, the changes in …

A review of the artificial neural network models for water quality prediction

Y Chen, L Song, Y Liu, L Yang, D Li - Applied Sciences, 2020 - mdpi.com
Water quality prediction plays an important role in environmental monitoring, ecosystem
sustainability, and aquaculture. Traditional prediction methods cannot capture the nonlinear …

[HTML][HTML] Prediction of dissolved oxygen in a fishery pond based on gated recurrent unit (GRU)

W Li, H Wu, N Zhu, Y Jiang, J Tan, Y Guo - Information Processing in …, 2021 - Elsevier
Dissolved oxygen (DO), an important water quality indicator in aquaculture, affects the
survival rate of aquatic creatures and the yield of aquatic production. Therefore, it is …

Prediction model of drinking water source quality with potential industrial-agricultural pollution based on CNN-GRU-Attention

P Mei, M Li, Q Zhang, G Li - Journal of Hydrology, 2022 - Elsevier
It is of great significance for the operation and management of waterworks to accurately
predict the raw water quality. In this study, the turbidity and CODcr of raw water with light …

Research of dissolved oxygen prediction in recirculating aquaculture systems based on deep belief network

Q Ren, X Wang, W Li, Y Wei, D An - Aquacultural Engineering, 2020 - Elsevier
Recirculating aquaculture has received more and more attention because of its high
efficiency of treatment and recycling of aquaculture wastewater. The content of dissolved …