Smart Water-Irrigated Management System (SWIMS): Automated Water Level Monitoring, Notification, and Irrigation Control for Enhanced Crop Cultivation

Abstract

Provinces in the Philippines, such as Ilocos Norte, have areas that struggle to manage water efficiently and mitigate disasters brought on by numerous annual storms despite existing irrigation designs. A more pragmatic approach to irrigation designs is needed to resolve this issue. This study aimed to design and develop a miniature smart water management prototype that combines irrigation and floodwater systems featuring disaster preparedness that the country could implement. The study employed an operational research design to construct a scaled-down smart and autonomous water management system with Internet of Things (IoT) capabilities. The prototype featured contingency measures, irrigation control, and short message services (SMS) through ultrasonic sensors, a soil moisture sensor, and actuators. The results showed that the precision tests of ultrasonic sensors and the soil moisture sensor were precise between readings. All components were functional and in good condition. Acceptability and adaptability tests yielded a weighted mean of 4.07 and 4.13, respectively, translating high levels in each. Ultrasonic and soil moisture sensors have minimal variations in each reading, inferring reliability and consistency. Every constituent component is functional, and the prototype is highly acceptable in design. The prototype is capable of being adapted for modifications and upgrades to accommodate larger scales, suggesting implementation near areas experiencing agricultural challenges.