Automated IoT-Based Paddy Grain Monitoring System for Enhanced Storage Efficiency and Quality Assurance

This research presents a groundbreaking approach to enhance paddy grain storage through the implementation of a modified atmosphere, creating a safe environment that ensures optimal long-term grain preservation. A web-based remote access system empowers users to wirelessly control and monitor key parameters, thereby facilitating the maintenance of superior grain quality over extended durations. The system automatically measures, transmits, and stores initial moisture content in a comprehensive database system, allowing for seamless wireless evaluation. Leveraging web-based monitoring capabilities, users can determine the readiness of paddy grain for storage. If unsuitable, the grain undergoes a user-defined drying process based on the initial moisture content measurement. To guarantee an optimal storage environment, a self-regulating modified atmosphere system is integrated, which autonomously maintains precise internal storage temperature levels. The system also evaluates external temperature, as it directly influences the internal storage conditions. Periodic evaluations of moisture content, internal storage temperature, and external temperature generate specific system outputs. When the system detects temperature and humidity levels exceeding predefined thresholds, an exhaust fan is automatically activated until acceptable conditions are restored. Real-time displays of moisture content, humidity, and temperature provide immediate feedback to users. The research outcomes propose the adoption of a self-monitoring rice grain storage system by rice farmers, enabling them to preserve grain quality and minimize losses, thereby enhancing food security and optimizing rice storage practices. The effectiveness of the storage system is evaluated through continuous monitoring of grain moisture content throughout the testing period. This study presents an efficient rice drying system that successfully reduces the moisture content of paddy grains to 14 percent or lower in an average mean time of 3 hours and 5 minutes, ensuring optimal quality and storage suitability. Furthermore, the study employs Cronbach's alpha as a reliability measure to assess different phases of the system. The findings confirm the reliability of both the drying and dispensing phases, with the latter phase achieving an outstanding level of excellence in internal consistency.