Ejemplares similares: Citrus sorting by identification of the most common defects using multispectral computer vision
- Automatic sorting of satsuma, (Citrus unshiu) segments using computer vision and morphological features
- Computer vision detection of peel defects in citrus by means of a region oriented segmentation algorithm
- Multispectral inspection of citrus in real-time using machine vision and digital signal processors
- Development of a machine for the automatic sorting of pomegranate (Punica granatum) arils based on computer vision
- Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features
- In-line sorting of irregular potatoes by using automated computer-based machine vision system
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: Aleixos, Nuria
- 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
- New model for the automatic detection of anthracnose in mango fruits based on Vis/NIR hyperspectral imaging and discriminant analysis
- Enhancing anthracnose detection in mango at early stages using hyperspectral imaging and machine learning
- Computer vision in Agriculture
- Uso de imagen hiperespectral para la discriminación en postcosecha de variedades similares de níspero