Discrimination of tea plant variety using in-situ multispectral imaging system and multi-feature analysis

This publication has 54 references indexed in Scilit:

• Remote Sensing Leaf Chlorophyll Content Using a Visible Band Index
  Agronomy Journal, 2011
• Assessing vineyard condition with hyperspectral indices: Leaf and canopy reflectance simulation in a row-structured discontinuous canopy
  Remote Sensing of Environment, 2005
• Evolutionary extreme learning machine
  Pattern Recognition, 2005
• Hyperspectral vegetation indices and novel algorithms for predicting green LAI of crop canopies: Modeling and validation in the context of precision agriculture
  Remote Sensing of Environment, 2004
• Detecting vegetation leaf water content using reflectance in the optical domain
  Remote Sensing of Environment, 2001
• Comparing prediction power and stability of broadband and hyperspectral vegetation indices for estimation of green leaf area index and canopy chlorophyll density
  Remote Sensing of Environment, 2001
• Non‐destructive optical detection of pigment changes during leaf senescence and fruit ripening
  Physiologia Plantarum, 1999
• Use of a green channel in remote sensing of global vegetation from EOS-MODIS
  Remote Sensing of Environment, 1996
• A ratio vegetation index adjusted for soil brightness
  International Journal of Remote Sensing, 1990
• Derivation of Leaf‐Area Index from Quality of Light on the Forest Floor
  Ecology, 1969