On-The-Go Hyperspectral Imaging Under Field Conditions and Machine Learning for the Classification of Grapevine Varieties

Samankaltaisia teoksia

• Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
  Tekijä: Gutiérrez, Salvador, et al.
  Julkaistu: (2015)
• Vineyard water status assessment using on-the-go thermal imaging and machine learning
  Tekijä: Gutiérrez, Salvador, et al.
  Julkaistu: (2018)
• Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions †
  Tekijä: Gutiérrez, Salvador, et al.
  Julkaistu: (2016)
• Development and Validation of a New Methodology to Assess the Vineyard Water Status by On-the-Go Near Infrared Spectroscopy
  Tekijä: Diago, Maria P., et al.
  Julkaistu: (2018)
• Grapevine Yield and Leaf Area Estimation Using Supervised Classification Methodology on RGB Images Taken under Field Conditions
  Tekijä: Diago, Maria-Paz, et al.
  Julkaistu: (2012)