Multispectral band selection for imaging sensor design for vineyard disease detection: case of Flavescence Dorée

This publication has 10 references indexed in Scilit:

• Remote hyperspectral imaging of grapevine leafroll-associated virus 3 in cabernet sauvignon vineyards
  Computers and Electronics in Agriculture, 2016
• Detection of grapevine leafroll disease based on 11-index imagery and ant colony clustering algorithm
  Precision Agriculture, 2016
• Spectral and Image Integrated Analysis of Hyperspectral Data for Waxy Corn Seed Variety Classification
  Sensors, 2015
• Automatic detection of powdery mildew on grapevine leaves by image analysis: Optimal view-angle range to increase the sensitivity
  Computers and Electronics in Agriculture, 2014
• Biology and ecology of the Flavescence dorée vector Scaphoideus titanus: a review
  Agronomy for Sustainable Development, 2014
• Successive Projections Algorithm for Variable Selection on the Rapid and Non-Destructive Classification of Coolant
  International Journal of Digital Content Technology and its Applications, 2013
• Review of the most common pre-processing techniques for near-infrared spectra
  TrAC Trends in Analytical Chemistry, 2009
• The potential of spectral reflectance technique for the detection of Grapevine leafroll-associated virus-3 in two red-berried wine grape cultivars
  Computers and Electronics in Agriculture, 2009
• Optical remote sensing applications in viticulture - a review
  Australian Journal of Grape and Wine Research, 2002
• The successive projections algorithm for variable selection in spectroscopic multicomponent analysis
  Chemometrics and Intelligent Laboratory Systems, 2001