Aquaculture operations and scientists have begun to adopt new smart farming technologies, including computer control systems. Nowadays, by controlling the environmental conditions and system inputs (e.g. water, oxygen, temperature, feed rate, and stocking density), physiological rates of cultured species and final process outputs (e.g. ammonia, pH and growth rate) can be regulated. These are exactly the examples of practical measurements that will allow aquaculture facilities to optimize their efficiency by reducing labor and utility costs. Anticipated benefits for aquaculture process control and artificial intelligence (AI) systems are increased process efficiency; reduced energy and water losses; reduced labor costs; reduced stress and disease; improved accounting; and improved understanding of the process. This paper explores the sciences, technologies, and implementation of the technologies necessary for the development of computer intelligent management systems to enhance d aquaculture production. Today's artificial intelligence system offers the farmers and aquaculturists with a proven methodology for implementing smart farming systems which are both intuitive and inferential.