Data mining and NIR spectroscopy in viticulture: Applications for plant phenotyping under field conditions
Assessment of downy mildew in grapevine using computer vision and fuzzy logic. Development and validation of a new method
Grapevine flower estimation by applying artificial vision techniques on images with uncontrolled scene and multi-model analysis
Support vector machine and artificial neural network models for the classification of grapevine varieties using a portable NIR spectrophotometer
Deep learning for the differentiation of downy mildew and spider mite in grapevine under field conditions
