Fish farmers need to confirm that the water in the area of land aimed for fish pond creation is suitable for an adequate growth fish. Currently, most local fish farmers do not have automated systems for ensuring that the water content of a farm land is viable for the healthy growth and production of fish. This may be due to high cost of those systems, transportation risks, inaccessibility, etc. Most farmers choose farm lands at random and eventually discover that the water is not favorable for fish pond. This normally led to the sudden death of fish in the pond, poor fish yield, and reduction in its economic values. Effort, energy and resources are also wasted. Sensor based technologies has been used to predict the quality of water and determine its viability for a fish pond. However, not all of them are affordable for the local fish farmers. Those that are affordable are not easily accessible due to distance. A local and cost effective microcontroller (ATMEGA 328P) based Fish Pond System was developed, which is programmed to work with smart sensors to determine a suitable water for fish in a pond. It uses water PH sensor to determine the PH level of the water; the water turbidity sensor to determine the turbidity level of the water; the Ultrasonic sensor to determine the water level of the pond; and the temperature sensor to determine the temperature of the water. The Liquid Crystal Display (LCD) screen is used to display the values of the quantities measured above in real time.  The system makes use of a very simple object – detection algorithm to help the fish farmer learn how to use it easily. This system is relatively less costly, and gives accurate results. The system ensures reduced fish mortality rate and increased fish production rate.

Index Terms- Microcontroller, Sensor, Predicting, Suitable water, Creation, Management, Fishery, Food Security, Pond.