Key points are not available for this paper at this time.
This paper describes the development and application of an SMS-based, affordable, and easily understandable irrigation control system for agricultural purposes. The system leverages the processing power of a Raspberry Pi Pico microcontroller and the remote communication capabilities of a GSM module to create a robust and versatile solution. By incorporating a suite of sensors for soil moisture, temperature, and humidity, the system automates irrigation cycles based on user-defined thresholds and real-time sensor data. This data-driven approach ensures optimal water usage, minimizing labor requirements and promoting sustainable farming practices by reducing water waste. Additionally, the system transmits SMS alerts for critical situations such as high temperature, low moisture, or pump malfunctions, enabling timely intervention to prevent crop stress or equipment failure. Users can remotely control the pump and receive status updates through SMS commands, providing a convenient interface for managing irrigation tasks from anywhere with cellular reception. This innovative system contributes to the field of smart agriculture by demonstrating how readily available technology can be effectively used to improve water management efficiency, minimize labor requirements, and ultimately increase agricultural productivity.
Lohith et al. (Tue,) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: