Terra: An IoT-enabled monitoring system for Japanese musk melon cultivation

Cheong, Davin (2025) Terra: An IoT-enabled monitoring system for Japanese musk melon cultivation. Final Year Project, UTAR.

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Abstract

Precision agriculture has become increasingly important in modern farming, with the integration of Internet of Things (IoT) technologies playing a crucial role in improving efficiency, resource management, and crop yield. Monitoring environmental parameters such as temperature, humidity, and soil moisture is essential for optimizing plant health, particularly for high-value crops like Japanese musk melons, which require stringent environmental control for quality production. Traditional farming relies on manual observation and fixed irrigation schedules, leading to inefficiencies in water usage and inconsistent environmental control. Farmers need real-time data to make proactive decisions, reducing labour dependency and resource wastage through automated monitoring and control. This project, “Terra: An IoT-Enabled Monitoring System for Japanese Musk Melon Cultivation” aims to develop an IoT-enabled monitoring system that collects and analyses real-time environmental data to optimize Japanese musk melon cultivation. By leveraging IoT technology, the system enhances environmental monitoring, improves decision-making, and enables remote farm management. The project introduces an affordable IoT-based monitoring system, reducing manual data collection and improving irrigation efficiency. It integrates IoT automation for real-time environmental monitoring and establishes a foundation for future enhancements such as predictive analytics and advanced automation. The system employs ESP32-based architecture with environmental sensors to collect real-time data, displayed on an OLED interface and transmitted to a cloud platform. It integrates with an existing greenhouse irrigation setup, using IoT-controlled solenoid valves to automate precise water distribution based on soil moisture levels. The system is expected to improve efficiency in Japanese musk melon cultivation by providing actionable insights, optimizing irrigation control, and reducing resource wastage. By automating environmental monitoring and integrating data-driven decision-making, the project aims to enhance crop health and yield while promoting sustainable agricultural practices.

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