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Karla Negrete's 2026 figshare publication presents a proof-of-concept automated image classification pipeline for detecting invasive spotted lanternfly egg masses. The method uses a support vector machine trained on 12 selected spatial texture features, achieving a mean Matthews Correlation Coefficient of 0.881 in cross-validation. The work aims to support scalable, low-cost surveillance in high-risk transport corridors.
The 7.4 MB file is a PDF research paper (Supplementary File 1), not a dataset of images or feature vectors. The license is CC BY 4.0.