Smart Irrigation using CARRIOTS IoT Platform and IFFT Algorithm for Agricultural Field

The scope of water resource in agriculture is a rising issue in the country. The automated irrigation in agricultural field offers solution for collection and analysis of data using sensor's measurements and can be transferred to IoT (Internet of Things) for interpretation of information and feedback to system in the future of agriculture. Using IoT, data is not only acquired from the sensors but also used for tracking purposes to take corrective actions when the signals show a value out of the range. Several actions to alert the user need to be notified immediately and hence this entire smart irrigation system is built using Carriots and Inverse Fast Fourier Transform (IFFT). Even though Carriots has a built-in email system to alert the user, a platform of IFFT is used to as it provides several integration services that we can use and integrate into our future automation in agriculture. In this work, we have presented moisture sensors dipped into the sand for observing the wetness condition of sand almost around every plant which is essential for farming without wasting water. The signals from the sensor are used in governing the water pump and solenoid valves. Every solenoid valve is coupled with each plant to manipulate the water supply. The sensors give signal depending on the moisture condition and accordingly the arduino controls the solenoid valves and also sends the data to the cloud for sending notifications.