The proposed solution leverages soil moisture, temperature, and humidity sensors connected to an Arduino-based microcontroller to automate irrigation based on real-time data. Farmers can remotely monitor and manage irrigation schedules through mobile devices, ensuring precision and convenience.
In comparison to the traditional smart irrigation systems, the system managed to conserve overall water by about 30 liters per day, while the system averaged about 13.1 watts power consumption. These results corroborate the fact that the system can conserve both water and energy while keeping the crops appropriately watered.
Several studies reach the conclusion that sensor data automated irrigation systems raise the efficiency of water use. Typical irrigation for example often wastes water through either excessive or poor timing of application. In contrast, these systems use injection only when water is needed, as determined by the current root zone’s moisture content.
The smart irrigation system came with key aims such as maintaining the optimal moisture levels of soil while at the same time minimizing the usage of water and preserving the state of the crop. The above objectives were all achieved by the system due to the real time monitoring and controlling of the system.
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