Identifying Strawberry Ripeness Level Using Camera for Cartesian Robot Application Based on Microcontroller

In this paper, we present a method for identifying strawberry ripeness levels using a camera for a Cartesian robot application. An automatic strawberry picking system has been developed to help simplify and speed up the harvesting process for farmers. The identification of fruit color is one of the fastest ways to identify the ripeness of strawberries. Automatically picking fruit using a robot has been widely developed to make it easier for farmers. Researchers have designed a system for identifying the ripeness of strawberries based on color using a camera, which will be applied to a Cartesian robot. The fruit color identification system considers the value of RGB taken by the camera, when the strawberry is identified as ripe, the Cartesian moves to pick the fruit. The results of the system’s testing in identifying and picking fruit showed the fastest time was 6 seconds, and the longest time was 43 seconds. The success rate was 87.5%, because the strawberries are not identified as ripe because they are still raw. It is hoped that the system will help farmers pick strawberries automatically.