The ESP32 module will be used in this research to build an automatic monitoring and control mechanism for the aquarium. The creation of an automatic feeding device that can increase the productivity of fish farming is the main goal. In addition, this research places focus on IoT-based aquarium monitoring and control. The water level is monitored using a JSN-SR04t ultrasonic sensor, while the water temperature is monitored using a DS18B20 sensor. The Blynk app can be used with these gadgets to monitor and regulate the condition of the aquarium, including regulating the water temperature and water level automatically. This study makes a significant contribution to the advancement of automation technology as well as the improvement of aquarium administration and maintenance. The system was tested to ensure that all its functions were working correctly. These tests include, Measurement of water temperature and water level, automatic fish feeding, control of pumps and lights, monitoring and setting aquarium conditions through the Blynk application. All system functions work correctly, the system can measure water temperature with an accuracy of 96.74%, measure water level with an accuracy of 95.39%, feed fish at the time specif ied by the user. control pumps and lights according to the settings, monitor and manage aquarium conditions through the Blynk application. The automatic aquarium monitoring and control system was 100% s uccessful in functional testing.