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Green Coffee Bean Sorter and Corrector based on Moisture Content using Capacitive Method

In postharvest farming, moisture content is important in determining the quality and controlling the cost of the coffee beans. However, meeting the right moisture level of the coffee bean is one of the common challenges in the coffee industry. Nonetheless, this study proposes a capacitance-based moisture measurement with quality and moisture corrector. The system is composed of electrical plates, microcontroller, built-in dryer and display. A software program was developed to determine the moisture content of the bean and classify it based on the set value of moisture content for high quality coffee bean. A built-in dryer is included to correct the moisture content of under dried coffee beans. The developed system is designed to be stand-alone and it prohibits human intervention unless during loading and unloading of the beans. Based on the results, the system can sort the beans according to moisture content and is able to measure the moisture content with 91.67% accuracy.