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What is Asparagus Grading via TOPSIS & SVM about?

This study presents a novel asparagus grading system that combines TOPSIS evaluation and support vector machine (SVM) prediction to improve classification accuracy and reduce labor costs associated with traditional manual grading. Key attributes such as length, diameter, and bruises were analyzed to determine asparagus quality, with the medium Gaussian SVM achieving a training accuracy of 96% and a test accuracy of 86.67%. The proposed system aims to meet the increasing market demand for asparagus in China

Author

aldo0bustios

Language

EN