Publications

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Journal Articles


Pine Wilt Disease Segmentation with Deep Metric Learning Species Classification for Early-Stage Disease and Potential False Positive Identification

Published in Electronics, MDPI, 2024

This study introduces a method for Pine Wilt Disease detection using drone orthomapped images. YOLOv8 segments diseased areas, followed by cropping regions with context for classification via Deep Metric Learning. A ResNet50 model with semi-hard triplet loss generates embeddings, and a Random Forest classifier identifies tree species and reduces false positives, outperforming multi-class segmentation.