Efficient combination of deep learning and tree-based classification models for solar panel dust detection
Abstract: Highlights•Enhancing dataset quality and model performance through data cleaning.•Comparing fine-tuned deep neural networks for feature extraction.•Identifying the best tree-based model for dust image classification.•Building lightweight classifiers through feature selection.•Developing a solar panel dust detection system using a hybrid machine learning solution.
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