Browsing by Author "Yahya Mahmoud Mohamed, Faisal"

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IoT Based Smart Fish Farming Aquaculture Monitoring System
(MSA, 2022) Yahya Mahmoud Mohamed, Faisal; Fathy Rashad, Hossam
As current human Population is 7.7 billion and growing day by day hence food demand is also increasing accordingly. Fish is a rich source of vitamins, minerals, protein, nutrients and micronutrients. It is an important part of consumer’s diet especially in poor and underdeveloped countries. It is a big challenge for farmer to fulfill market demand with healthy sea food. Aquaculture is a tool to fill gap between of sea food supply and demand. Use of controlled environment production of aquaculture has been increased to a significant level but losses huge due to manual equipment and management failure. Farmers need real time and accurate information to monitor and maximize production potential. Farmers are using traditional techniques and procedures for the aquaculture. By following traditional approach, farmer measure and monitors the water quality, water level, oxygen level and stress level of the aquaculture manually. In this project, we proposed an Internet of Things (IoT) based smart aquaculture model that will measure water quality (pH sensor, water level, color sensor, water temperature, turbidity and DC Motor) for aquaculture. In this project uses low cost and short-range wireless sensors network using IoT network module to monitor aquaculture in real-time. By using this system parameters of water are monitored continuously using a microcontroller IoT board which reduces internet consumption, transmitted data regularly with small latency with error free and ensures survival of aquatic life also ensures the quality of growth and increases the economic benefits of aquaculture.