An IoT-Based Cloud Solution for Intelligent Integrated Rice-Fish Farming Using Wireless Sensor Networks and Sensing Meteorological Parameters

Internet of Things (IoT) based automated farming processes and integrated rice-fish farming field monitoring can reduce wastage by allowing more efficient water management, water quality maintenance, and growth rate monitoring for higher production. Our research was inspired by developing countries, where agriculture, aquaculture and climate conditions play a significant role in the economy. Our main goal is to build an IoT-based automated integrated rice-fish farming system that leverages portable wireless sensor networks (WSN) to monitor environmental factors remotely. Our suggested system uses sensors such as temperature, humidity, dissolved oxygen (DO), water level, pH, and turbidity sensors to monitor and operate the integrated rice and fish farming system. Because of user notification and the IoT cloud server employing wireless sensor networks, the collected data from the sensors is transferred to the created Developed Website for Integrated Farming System (DWIFS). All sensors will be continuously monitored by our multi-sensor system. The data will be stored on cloud systems based on DWIFS and IoT to provide an increased scalability and access to cloud data from anywhere on the planet. The user is notified by turning on and off LEDs, receiving SMS, and phone call messages on a regular basis.