AUTONOMOUS IRRIGATION CONTROLLER LEVERAGING SOIL HYDROLOGY ANALYTICS

This paper has presented AquaPulse, a proposed autonomous irrigation controller that combines calibrated soil-moisture sensing, temperature telemetry, reservoir-level protection, flow verification, local pump control, and IoT-based monitoring. The design uses a moisture band with hysteresis, persistence filtering, soak periods, maximum runtime and volume limits, and fault-aware state transitions. It also specifies the hardware interfaces, telemetry model, calibration process, and controlled evaluation methodology needed to assess the system objectively. The central contribution is a practical design that treats irrigation as a feedback-control problem rather than a fixed timer task. Its benefits remain hypotheses until supported by measured results. A completed prototype should therefore be tested against clear baselines and reported with transparent methods, units, uncertainty, and reproducible data.  

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