SpectraNet–53: A deep residual learning architecture for predicting soluble solids content with VIS–NIR spectroscopy
SpectraNet–53: A deep residual learning architecture for predicting soluble solids content with VIS–NIR [...]
SpectraNet–53: A deep residual learning architecture for predicting soluble solids content with VIS–NIR [...]
Smart tools for citrus ripening monitoring on-tree: modelling maturity index for orchard management [...]
Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences [...]
Recalibration as a major tool to improve Vis-NIR spectroscopy-based calibration models performance in [...]
The perks and ills of Vis-NIRspectroscopy in the assessment of “Algarve Citrus” ripening [...]
Overview of applications of VIS/NIR spectroscopy developed in CEOT for monitoring fruits and [...]
Exploring Deep learning as a tool to enhance Chemometrics and analysis of VIS-NIR [...]
Short wave near infrared calibration models for the on tree ripening attributes of [...]
First attempt to find spectral patterns in cork oak leaves revealing the interaction [...]
Ripening assessment of ‘Ortanique’ (Citrus reticulata Blanco x Citrus sinensis (L) Osbeck) on [...]