Comprehensive Review on Automated Field Irrigation using Soil Image Analysis and IoT
Keywords:
Arduino, Cam module, Flow sensor, GSM module, IoT, Moisture sensor, Relay moduleAbstract
Automatic field irrigation through soil image analysis represents a sophisticated advancement in agricultural technology, leveraging computer vision and machine learning to optimize water application. By capturing and analyzing soil images, the system evaluates key parameters such as moisture content, texture, and color to precisely determine irrigation requirements. This fully automated approach ensures water delivery based on real-time image data, minimizing wastage while maintaining optimal soil moisture levels for crop growth. When integrated with IoT and remote-control capabilities, the system facilitates efficient management of extensive farmlands, enhancing sustainable water usage. Furthermore, continuous machine learning refinement enhances the accuracy of soil condition predictions, leading to progressively improved irrigation strategies over time.
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