Similar Items: Automatic inspection of the pomegranate (Punica granatum L.) arils quality by means of computer vision. Short communication.
- Development of a machine for the automatic sorting of pomegranate (Punica granatum) arils based on computer vision
- Computer vision developments for the automatic inspection of fresh and processed fruits
- Computer vision for automatic inspection of agricultural produces
- Development and characterization of microsatellite markers in pomegranate (Punica granatum L.)
- Development of an irrigation scheduling recommendation for pomegranate trees (Punica granatum)
- Natural Infection of Pomegranate (Punica Granatum) by Apple Dimple Fruit Viroid
Author: 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
Author: 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