INCLUSIVE LEARNING THROUGH IOT-ENABLED WATER QUALITY MONITORING FOR NIPA PALM AND GULA APONG PRODUCTION- TOWARDS AI EDUCATION

Abstract

Water quality plays a vital role in the growth and development of agricultural crops, including the Nipa palm. This project aims to investigate and develop a reliable water quality monitoring system specifically designed to assess physicochemical parameters near Nipa palm plantations. This project introduces an IoT-powered real-time water quality monitoring system tailored for nipa palm agriculture and gula apong production. It integrates low-cost sensors to measure temperature, pH, electrical conductivity (EC), turbidity, and other physicochemical sensors to measure a more comprehensive range of water quality parameters thus delivering accurate and continuous data essential for maintaining optimal palm growth conditions. The temperature sensor also plays a vital role in identifying the ideal cooking time for gula apong, ensuring consistent taste, texture, and quality. The data collected is then analysed to assess the relationship between the physicochemical parameters of the water and the growth of the nipa palm. The collected data is transmitted wirelessly to a cloud platform, where it is visualized in graphical analysis. With the guidance from the designer, both villagers and students can monitor water quality on the spot or via analysis and detemine suitable locations for better quality of nipa palm thus enhance production quality of gula apong. Together with the material, an iot system also created to analyze the ideal time for gula apong production. Beyond supporting agricultural productivity, the system functions as an inclusive learning platform. For villagers, it provides a practical introduction to IoT technology while opening the door to AI applications in farming. For students, it offers hands-on experience in environmental monitoring, sensor integration, and AI-based data analysis—skills that align with modern educational goals and industry demands. By combining local knowledge with modern technology, this project empowers communities to adopt sustainable practices, safeguards the heritage of gula apong production, and serves as a beginning for AI in bridging the gap between rural traditions and digital innovation.