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 [...]
Making Sense of Light: The Use of Optical Spectroscopy Techniques in Plant Sciences [...]
Ripening assessment of ‘Ortanique’ (Citrus reticulata Blanco x Citrus sinensis (L) Osbeck) on [...]
Nondestructive simultaneous prediction of internal browning disorder and quality attributes in ‘Rocha’ pear [...]
Spatiotemporal modelling of the quality and ripening of two cultivars of “Algarve Citrus” [...]
Feature discovery in NIR spectroscopy based Rocha pear classification Daniel, M.; Guerra, [...]
Non destructive assesment of citrus fruit quality and ripening by visible - near [...]
Nutritional Characterization and Storage Ability of Salicornia ramosissima and Sarcocornia perennis for Fresh Vegetable Salads Antunes, [...]
Targeted plant improvement through genome editing: from laboratory to field Miladinovic, Dragana; [...]
Antioxidant activity and enzyme inhibitory potential of Euphorbia resinifera and E. officinarum honeys from Morocco [...]