Implementation of LSTM Model-Based Aquaponics System EC Prediction and Hydronic Control Algorithm 


Vol. 48,  No. 12, pp. 1616-1622, Dec.  2023
10.7840/kics.2023.48.12.1616


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  Abstract

The aquaponics system is system that integrates hydroponics and aquaculture. it reuses the water used for aquaculture to reduce the amount of water and chemical fertilizer used in agriculture and increase productivity. The aquaponics system is a circular system that combines fish farming and hydroponic systems, and requires precise management because the two types of cultivation systems are connected. The management requires circulating water control to control EC values, which directly affect crop and fish growth. In this paper, EC data from sensors installed in the cultivation section and aquaculture section are used as training data for Long-Short term memory(LSTM), Convolution Neural Network(CNN)+LSTM, and Convolutional LSTM(convLSTM) models to predict EC values and select a model suitable for circulating water control. The evaluation index of the model in experiment use Mean Square Error(MSE), and based on the predicted EC value of optimal model, an algorithm that can control circulation water is designed. By combining the algorithm implemented in this paper with the environmental data collection system, it is possible to systematically manage nutrients required for optimal production and adjust factors related to circulation water control.

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[IEEE Style]

J. Lee, J. Baek, O. Yang, "Implementation of LSTM Model-Based Aquaponics System EC Prediction and Hydronic Control Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 12, pp. 1616-1622, 2023. DOI: 10.7840/kics.2023.48.12.1616.

[ACM Style]

Jeong-Ho Lee, Jeong-Hyun Baek, and Oh-Seok Yang. 2023. Implementation of LSTM Model-Based Aquaponics System EC Prediction and Hydronic Control Algorithm. The Journal of Korean Institute of Communications and Information Sciences, 48, 12, (2023), 1616-1622. DOI: 10.7840/kics.2023.48.12.1616.

[KICS Style]

Jeong-Ho Lee, Jeong-Hyun Baek, Oh-Seok Yang, "Implementation of LSTM Model-Based Aquaponics System EC Prediction and Hydronic Control Algorithm," The Journal of Korean Institute of Communications and Information Sciences, vol. 48, no. 12, pp. 1616-1622, 12. 2023. (https://doi.org/10.7840/kics.2023.48.12.1616)
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pISSN : 1226 - 4717
eISSN : 2287 - 3880