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 …
aquaculture to make aquaculture production profitable and sustainable. In this work, we …
Prediction and control of water quality in Recirculating Aquaculture System based on hybrid neural network
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 …
remains essential to survival and growth of aquaculture objects. This requires effect …
[Retracted] Water Quality Prediction Using Artificial Intelligence Algorithms
During the last years, water quality has been threatened by various pollutants. Therefore,
modeling and predicting water quality have become very important in controlling water …
modeling and predicting water quality have become very important in controlling water …
Predicting water quality with artificial intelligence: a review of methods and applications
D Irwan, M Ali, AN Ahmed, G Jacky, A Nurhakim… - … Methods in Engineering, 2023 - Springer
The water is the main pivotal sources of irrigation in agricultural activities and affects human
daily activities such as drinking. The water quality has a significant impact on various …
daily activities such as drinking. The water quality has a significant impact on various …
[HTML][HTML] FM-GRU: A time series prediction method for water quality based on seq2seq framework
J Xu, K Wang, C Lin, L Xiao, X Huang, Y Zhang - Water, 2021 - mdpi.com
Water quality prediction plays a crucial role in both enterprise management and government
environmental management. However, due to the variety in water quality data, inconsistent …
environmental management. However, due to the variety in water quality data, inconsistent …
[HTML][HTML] Developing a novel water quality prediction model for a South African aquaculture farm
Providing an accurate prediction of water quality parameters for improved water quality
management is a topical issue in the aquaculture industry. Conventional prediction methods …
management is a topical issue in the aquaculture industry. Conventional prediction methods …
A water quality prediction method based on the deep LSTM network considering correlation in smart mariculture
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 …
Since the mariculturing environment is always open to its surroundings, the changes in …
Water quality prediction model combining sparse auto-encoder and LSTM network
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 …
model based on sparse auto-encoder (SAE) and long-short-term memory network (LSTM) is …
Water quality prediction in the luan river based on 1-drcnn and bigru hybrid neural network model
J Yan, J Liu, Y Yu, H Xu - Water, 2021 - mdpi.com
The current global water environment has been seriously damaged. The prediction of water
quality parameters can provide effective reference materials for future water conditions and …
quality parameters can provide effective reference materials for future water conditions and …
Forecasting water quality variable using deep learning and weighted averaging ensemble models
Water quality variables, including chlorophyll-a (Chl-a), play a pivotal role in comprehending
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …
and evaluating the condition of aquatic ecosystems. Chl-a, a pigment present in diverse …