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Rice Grading Using Machine Learning SVM by rajasekharkavuru is a document available to read on EtoBox.

What is Rice Grading Using Machine Learning SVM about?

The document describes a method for classifying rice grains into different grades using machine learning techniques. Key steps include preprocessing images through grayscaling, smoothing and segmentation. Shape and size features are then extracted from images and a support vector machine classifier is trained to classify rice into premium, A, B or C grades based on these features.

Author

rajasekharkavuru

Language

EN