Abstract:
Irrigation scheduling is one of the most prevalent challenges with farm irrigation systems. Irrigation scheduling is just a matter of addressing the questions ”When should I water?” and ”How long should I water?” Overwatering is defined as starting an irrigation cycle too early and/or continuing an irrigation cycle too long. This technique, at the very least, wastes water and money. Overwatering, on the other hand, can harm crops if done repeatedly. Similarly, starting an irrigation cycle too late or not running it for a long enough time is termed underwatering and can result in lower yields and poor crop quality, both of which can affect pricing. The key to minimizing the financial and practical impact on crops is to look at these issues in depth. ET-based control systems and soil moisture-based control systems are the two most popular techniques for coping with these issues. Evapotranspiration (ET) is the process through which soil moisture is lost to the atmosphere directly through evaporation and plants extract water from the soil and transpire it to the atmosphere. Soil moisture sensors are used in soil moisture-based control systems to monitor the real soil wetness. Because it measures the moisture level in the soil rather than calculating what should be there, this approach is usually more accurate than ET calculations. Soil moisture control systems alert the producer when it’s time to start an irrigation cycle and when the soil moisture level has reached field capacity [1] The Smart Irrigation system allows users and farmers to get online information on their crops and statistical data, as well as automate their land’s irrigation system to stop the case of overflooding using the method of soil moisture-based control system. The Smart Irrigation System’s major characteristics include irrigation process automation and data visualization for farmers regardless of where they are in town or outside of town. The front end of the system was created using Java as an Android App, while the hardware system was developed using C. The farmer will be able to operate the field remotely using this app. Users will be issued a device ID that will allow them to connect to the device they purchased through the App.
