Identification of tea confusing diseases based on NIRS and deep learning
To address the challenges in manual identification and the low efficiency of conventional detection for three morphologically similar tea diseases (anthracnose, leaf scorch, and nutrient deficiency), near-infrared spectroscopy (NIRS) integrated with chemometrics and deep learning was employed to achieve rapid and accur...