Fisheries are required to grant convenient environmental conditions for fish growth with minimum cost afford.\r\nProviding these environmental conditions should essentially correlate fish type, pond dimensions, water properties, and weather\r\nconditions to the fish growth rate, feeding and metabolism. The large uncertainty margin of such parameters relations and\r\neffects drives the farmers to have economically inefficient practices in their farms. The present work was divided into two\r\nparts. The first part introduced an interactive Microsoft Excel spreadsheets as a decision support system (DSS) for the\r\npurposes of fish farm area planning according to the different required purposes of ponds, water evaluation to insure the most\r\nsuitable environment of fish growth, and mechanical aeration management. The design of this DSS took the simplicity of\r\nrequired input data and data output into consideration. The second part was a microcontroller based open loop control system\r\nfor mechanical aeration process based on the calculations of the DSS. The aeration management part input and output data fed\r\nto the control system with a specially developed program using �µC-language. This program performs the calculations of\r\naeration requirements and energy demands based on the DSS calculations. Furthermore, the controller had the feature of\r\nworking from isolated power supply or in collaboration with renewable energy system. These utilities have been created to be\r\nsuitable for three fish types, which are Mullet, Tilapia, and Carp fish. These types have a wide acceptance in the aquaculture\r\nactivities under warm water conditions. The data obtained from the calculations of the spreadsheet under simulated and real\r\nfield conditions were compared to a reference data. The spreadsheet showed an agreement with the reference values. The\r\ncontrol systems succeed to operate 1hp-3phase induction motor for a time that was identical to the required aeration time\r\ncalculated through the DSS. It was recommended to rely on the created DSS and the control system for farm area planning,\r\nwater environment evaluation, and mechanical aeration management and operation. In addition, improvements for the control\r\nsystem should be carried out to be a real-time system especially with water quality parameters considering system power\r\nrequirements and operating costs.
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