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Pechay Damage Assessment by Cutworm by kristine labajo is a document available to read on EtoBox.

This study focuses on the classification and assessment of damage severity in pechay plants caused by cutworms (Spodoptera litura) using image processing and machine learning techniques. A system was developed that classifies pechay plants as healthy or damaged and evaluates the severity of damage with an accuracy of 88.31%. The methodology includes data collection, image pre-processing, feature extraction, and the application of k-means clustering for damage assessment.

Author

kristine labajo

Language

EN