IoT-Based Aquaculture Monitoring System Developed in Iran

The system is able to measure pathogenic factors in the water environment in addition to monitoring water parameters.

By using an IoT-based automation solution, it is possible to constantly monitor pH, temperature, and dissolved oxygen in a fish pond.

Using the data gathered by the system can result in more optimal resource use and profit maximization, resulting in long-term analyses and informed decisions.

The system operates based on the climate in the North and South of the country for cold water and warm water fish.

Artificial intelligence analyzes the data collected continuously throughout the day and night, and the information is sent through the software installed on the user's phone.

For example, if the oxygen in the fish breeding pool decreases, in addition to warning the user, the oxygen level will be increased.

The system is able to measure the desired parameters for any type of fish. Moreover, it monitors the situation under the water surface and on the surface of the fish breeding ponds using closed-circuit camera images.

When the microbial load of the water increases, the type of swimming and movement of the fish will be different.

Since the water monitoring is done round the clock, whenever a different herd behavior is observed in the water, the operators check the water entry and exit point and send warnings to the user.

In such a situation, either the operator manually fixes the problem, or the water purification system is turned on to reduce the amount of microbial load in the water.

The system has been designed and produced based on Iran's climate for fish farming in the Northern and Southern parts of the country.

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