Similar Items: Early detection of fungi damage in citrus using NIR spectroscopy
- Early detection of mechanical damage in mango using NIR hyperspectral images and machine learning
- Hyperspectral detection of citrus damage with Mahalanobis kernel classifier
- Visible-NIR reflectance spectroscopy and manifold learning methods applied to the detection of fungal infections on citrus fruit
- Rapid Prediction of Nutrient Concentration in Citrus Leaves Using Vis-NIR Spectroscopy
- Recognition and classification of external skin damage in citrus fruits using multispectral data and morphological features
- Detecting rottenness caused by Penicillium genus fungi in citrus fruits using machine learning techniques
Author: DeShazer, JA Meyer, GE
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