FRUIT QUALITY ANALYSIS USING ML

The Fruit Quality Analysis System is designed to evaluate fruit quality using machine learning techniques. A camera captures images of fruits, and the data is processed by an SBC using ML algorithms to analyze color, texture, and shape. The system classifies fruits based on quality parameters. This helps improve grading accuracy and reduce manual inspection. This project uses an SBC, camera module, ML algorithms, image processing, and embedded programming, making it suitable for agricultural quality assessment applications.