Web based smart iot-based system for optimized Japanese melon farming: data-driven approach to enhance yield and quality

Liew, Ke Ying (2025) Web based smart iot-based system for optimized Japanese melon farming: data-driven approach to enhance yield and quality. Final Year Project, UTAR.

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Abstract

This project presents the design and implementation of a web-based smart IoT system for Japanese melon cultivation, addressing the critical need for real-time monitoring, actionable analytics, and decision support in high-value crop farming. The system integrates IoT sensors to capture environmental parameters such as soil moisture, pH, electrical conductivity, temperature, and light intensity, with data first ingested via ThingSpeak and subsequently synchronized into a Supabase PostgreSQL database through an automated Edge Function and Cron Job. The application layer, developed using Spring Boot, manages business logic including threshold-based rule evaluation and integrates with Firebase Cloud Messaging to deliver real-time alerts and recommendations. Angular, Ng Zorro, TailwindCSS, and embedded Grafana dashboards form the presentation layer, providing farmers with intuitive visualizations such as time-series graphs, Soil Health Index computation, and correlation heatmaps. System testing and evaluation demonstrated reliable data integrity (99.81% completeness), accurate threshold-based suggestions, and efficient performance with an average application start time of 1.55 seconds. Functional and integration test cases confirmed robust user management, sensor threshold configuration, and task scheduling features. The findings highlight that the system effectively transforms raw IoT data into interpretable insights, enabling timely interventions that improve yield consistency and fruit quality. While the study faced limitations in full-scale deployment and hardware connectivity, the outcomes establish a scalable, cost-effective foundation for precision agriculture. Future work is recommended to expand deployment across full cultivation cycles, incorporate predictive analytics, and integrate advanced automation for irrigation and ventilation control. Keywords: smart farming; IoT; Japanese melon; Supabase; Grafana; Firebase; soil health index Subject Area: T57.6–57.97

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