Hyperspectral Imagery allows for the classification, identification, and detection of vegetation phenomena that relate to a wide range of applications, for example:

  • precision agriculture
  • measurement and mapping of chlorophyll fluorescence
  • measurement and mapping of biomass production efficiency
  • measurement of sugar and starch content and distribution in sugar beets, potatoes, etc
  • sorting of fruits, berries, and vegetables based on ripeness and sugar content
  • stress detection
  • analysis of seed properties
  • insect and disease mapping and monitoring, vegetative health
  • detection of insect and pest eggs on plants and roots
  • species identification, and invasive species mapping
  • remote sensing applications
Vegetation - Specim, Spectral Imaging Ltd.