Abu Hassan Abdullah
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Abu Hassan Abdullah
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Abdullah, Abu Hassan
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26029734700

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Aquaculture monitoring system using multi-layer perceptron neural network and adaptive neuro fuzzy inference system

2024-01-01 , Abu Hassan Abdullah , Sukhairi Sudin , Saad F.S.A. , Muhamad Khairul Ali Hassan , Muhammad Imran Ahmad , bin Abdul Khalid K.A.

The water quality is the most important parameter for aquatic species health and growth. The condition is very critical and is essential to monitor continuously. Poor water quality will affect health, growth and ability of the animal to survive. These also affected their harvesting yields based on the amount and size of the animal. The main water parameters such dissolved oxygen (DO), pH, temperature, salinity and turbidity are monitored and control for good water quality. The data were acquired by the developed instrument and send wirelessly through GPRS/GSM module to cloud-based database. The data were retrieved and the water quality is predicted using fuzzy logic and multi-layer perceptron. MATLAB software was used for the model which is developed based on Mamdani fuzzy interface system. The membership functions of fuzzy were generated, as well as the simulation and analysis of the water quality system. Results show that the performance of fuzzy method can improve system performance in monitoring the water quality. This system also provides alert signals to farmers based on specific limit value for the water quality parameters. This will help the breeders to make certain adjustment to ensure suitable water quality for the aquaculture system.

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Development of aquaculture water quality real-time monitoring using multi-sensory system and internet of things

2021-12-01 , Abu Hassan Abdullah , Fathinul Syahir Ahmad Sa'ad , Sukhairi Sudin , Zahari Awang Ahmad , Ahmad I. , Norlida Abu Bakar , Shafie Omar , Sulaiman S.F. , Mohd Hishamuddin Che Mat , Nurul Afidah Umoruddin , Johari B.H.

Water quality is an important parameter for the health and growth of aquatic species in aquaculture farming system. The threshold values of the water main parameters should be monitored continuously. Contaminated aquaculture water will affect the health, growth and ability of animals to survive. In addition, it will also affect the harvesting yields based on the number and size of the animals. To overcome this problem, the main water parameters, namely temperature, pH, Dissolved Oxygen and Electrical Conductivity are monitored in real-time using a multi-sensory system and the internet of things. Data is acquired by a developed instrument and transmitted wirelessly via a GPRS/GSM module to a web server database. The data obtained are analyzed and monitored through the website and in real-time. Therefore, corrective action could be taken immediately for contaminated water, indicated by water parameters out of range. The system also provides an early signal to farmers based on a specific range of water quality parameters values. This will help farmers make adjustments to ensure appropriate water quality for the aquaculture system.

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