Design and Empirical Evaluation of an Adaptive Smart Irrigation System Utilizing Thermally Compensated Soil Tension Sensing and Gravity Head Regulation

Abstract

Traditional agricultural water management often relies on fixed irrigation schedules or uncompensated sensor data, leading to severe resource inefficiencies, excessive energy utilization, and diminished crop productivity. The current study proposes the development and field validation of the closed-loop autonomous Adaptive Smart Irrigation System. The architecture provides successful integration of soil tension measurement, embedded real-time temperature calibration, and gravity head fluidic control system. Based on the localized root-zone matric potential measurement using unpowered porous ceramic-cup soil tensiometer integrated with electronics transducer, the system measures plant-available water on the basis of energetic extraction capacity instead of baseline volumetric water content. The real-time linear thermal correction matrices are calculated on native basis through an Arduino UNO platform in order to eliminate microclimatic sensor calibration drift. For water delivery, all mechanical pump requirement is completely substituted with gravitational potential energy in form of static hydrostatic head differences. Multi-phase field experimental validation under different matrices demonstrated high accuracy of operation: the instrumentations captured abrupt tension changes corresponding to 0.5 kPa in fully saturated soil matrix, 19 kPa in the range of medium moist field vectors, and 27.5 kPa in highly dry sand matrix. In closed-loop autonomous control loops, complete data integrity and absence of short-cycling under real-time testing was achieved. The current architecture is a precision agricultural machine designed for decentralized smallholders' farm operations.