Solar powered IoT-enhanced portable rice grain dryer for automated temperature regulation
The Solar Powered IoT Enhanced Portable Rice Grain Dryer project aims to revolutionize traditional rice drying methods by leveraging solar energy and Internet of Things (IoT) technology to enhance efficiency and grain quality. This study focuses on creating a sustainable, efficient solution for small-scale farmers by integrating solar panels, sensors, and a pulley system within a portable dryer coupled with IoT connectivity for real-time monitoring and control. The research combines experimental testing and data analysis, encompassing unit, integration, and acceptance testing to evaluate performance metrics comprehensively. The results reveal that the solar-powered dryer significantly reduces drying time from three to four days to just two hours and decreases the moisture content of rice grains from 18-25% to an optimal 12-14%. This marked improvement ensures a higher quality of dried rice and minimizes post-harvest losses, contributing to better food security. The IoT-enabled system allows for automated temperature regulation, ensuring optimal drying conditions and offering farmers real-time insights and control over the drying process. This innovative approach has proven effective and reliable under varying environmental conditions, validating its potential as a practical and impactful solution for the agricultural sector. Overall, the Solar Powered IoT Enhanced Portable Rice Grain Dryer stands out as a pioneering advancement in agricultural technology, promising to support sustainable farming practices and enhance the livelihood of farmers by improving drying efficiency and grain quality.
Authors
- Yolanda D. Austria (ORCID: https://orcid.org/0000-0002-3188-0907)
- Jan Lemuel Retanan
- Hubert Temprosa
- Margueritte Ann Arevalo
- Adrien Kyle Balane
- Martin Timothy Olano
Institutions
- Adamson University (PH)
Publication Details
- Published
- 2024-09-19
- DOI
- https://doi.org/10.1117/12.3046947
- Primary Topic
- IoT-based Smart Home Systems
- Type
- article
- Field-Weighted Citation Impact
- 0.00