Ejemplares similares: Avances en visión automática de productos hortofrutícolas
- Detección automática de malas hierbas mediante visión artificial
- Uso de la visión artificial en la estimación automática de la calidad de los arilos de Granada
- Uso de la visión artificial en la estimación automática de la calidad de los arilos de granada
- Evaluación no destructiva de la calidad de productos hortofrutícolas en líneas de confección
- Advances in Machine Vision Applications for Automatic Inspection and Quality Evaluation of Fruits and Vegetables
- Automatic sorting of satsuma, (Citrus unshiu) segments using computer vision and morphological features
Autor: Blasco, José
- Non-Destructive Appraisal of Macro- and Micronutrients in Persimmon Leaves Using Vis/NIR Hyperspectral Imaging
- Quantifying the ultraviolet-induced fluorescence intensity in green mould lesions of diverse citrus varieties: Towards automated detection of citrus decay in postharvest
- Study of light penetration depth of a Vis-NIR hyperspectral imaging system for the assessment of fruit quality. A case study in persimmon fruit
- Rapid Prediction of Nutrient Concentration in Citrus Leaves Using Vis-NIR Spectroscopy
- New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis
- Qualitative, energy and environmental aspects of microwave drying of pre-treated apple slices
Autor: Cubero, Sergio
- Quantifying the ultraviolet-induced fluorescence intensity in green mould lesions of diverse citrus varieties: Towards automated detection of citrus decay in postharvest
- New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis
- Sensores, datos y tecnologia de precision en el sector agricola
- Uso de imagen hiperespectral para la discriminación en postcosecha de variedades similares de níspero
- Determinación de la textura en caqui "Rojo brillante" mediante imagen hyiperspectral Vis-NIR
- Early detection of Penicillium Digitatum using hyperspectral imaging and deep learning