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Author

Felix Shaw

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Open access Jul 2026

Integrating machine learning, deep learning, and image analysis for seed species classification

Threshold‐based rejection enabled robust open‐set classification, with random forest outperforming deeper models in rejecting unseen seeds andDeep learning segmentation substantially enhanced CNN accuracy, yet tabulated‐feature machine learning models remained competitive and efficient.

Jonathan Ashworth, Eloise Barrett, Rebonto Haque et al. · 0 citations

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