Aquaculture is becoming an attractive field of farming as a profession in Africa which acquires a huge number of young fish productions. Therefore, aquatic life is naturally a hazardous environment for egg to fry development, which brings a big difference between rate of eggs production and release of fries. The incubation of fish eggs is necessary to monitor environmental changes against eggs. The way this technique is applied, is manual and it causes mortalities of several fish eggs. Even though system automation is a good solution for this problem by maintaining some critical parameters such as temperature at ease for eggs to survive, the problem of slow response time still persist since fish breeders requires them to work closer with the system to see what’s going on.

This research focuses on “automated fish eggs incubator with smart cylinder” by monitoring different environmental changes such as; oxygen level, mechanical damage, water temperature, and flow rate and water quality. These parameters are respectively controlled by a network of sensors such as; water flow sensors, temperature sensors, and PH sensors. The data corresponding to these parameters are stored on the cloud for further research and analysis and remotely monitored by the person involved. This system is affordable due to its low power consumption, easy portability where can be taken by breeders during fry release.