Zhihan Wang

STAMPformer: spectral-prior-guided multi-view attention learning for hyperspectral prediction of continuous frost damage severity in field-grown tea plants

Frost damage severely constrains the growth, development and quality formation of tea plants, underscoring the need to develop accurate field-scale methods for the assessment of frost damage severity. In this study, hyperspectral data and eight key physicochemical indicators were...