Authors: Aarthi, Jeevatharani shree, Kanishka, Sasikanth
Abstract: Grain quality preservation alongside loss reduction function as essential benefits of paddy drying after harvest. The traditional drying procedures are inefficient and slow while strongly depending on weather conditions thus causing substantial post-harvest losses. The research develops an IoT- based Precision Dehumidifying System that implements automatic real-time sensing along with control methods to enhance paddy drying processes. The system contains DHT sensors for temperature and humidity measurements in addition to moisture sensors that check paddy water content. The system activates the automated drying process when it detects excessive moisture through the operation of a DC fan for application of controlled airflow while utilizing a Peltier crystal for heat generation. The system operates with precise parameters to guarantee drying quality because it avoids drying the paddy too much and not enough at the same time. The IoT-based control system enables time-based observation and limited human interaction to maintain power-efficient drying processes. Optimized energy usage and minimized waste loss through implementation of this solution leads to improved overall processing efficiency together with sustainability benefits. The introduction of smart dryers delivers two benefits which are better grain quality performance alongside economical operation versus traditional drying standards. The study helps precision agriculture progress through smart sensor implementation along with automatic systems and IoT-based decision systems. This solution demonstrates adjustable characteristics which enable scalability across different climate zones to become a legitimate method for advanced grain processing units. Further development demands sensor calibration enhancement parallel to power optimization alongside machine learning model implementation for predictive moisture control.
DOI: http://doi.org/
