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VIS–NIR–SWIR Proximal Spectroradiometry Coupled with Machine Learning and Deep Learning for Ornamental Plant Identification and Classification
Non-destructive classification of ornamental plant material could improve greenhouse quality control, cultivar screening, and spectral phenotyping; however, most routine decisions still rely on visual inspection. We evaluated proximal VIS–NIR–SWIR spectroradiometry (400–2400 nm) for 900 balanced pla
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