An Automatic Sorting Machine Using Weight Sensor and Moisture Content Measurement for Sweet Potatoes

Abstract

This study proposes a method for the internet of things in the cyber-physical system (CPS) for smart agriculture systems for sorting potatoes for post-harvest processing. Sorting is currently the most essential part of the production stage, namely at the time of sorting at harvest time. Using the smart system layer architecture, the automatic sorting machine plays as an instrumentation layer in CPS. The parameters used in the sorting setting are sweet potatoes' color, shape, size, mass, and water content. This automatic sorting machine assesses the quality of sweet potatoes based on the water content and weight. The loT instrumentation layer uses a weight sensor HX711 and measures the water content with a parallel plate. As discussed in this paper the sensor data determine the decision to sort sweet potato quality values based on Indonesian National Standard (SNI). It also shows how the measurement data can be used in further research for smart agriculture system.