Evaluation of E-nose data analyses for discrimination of tea plants with different damage types Article

Sun, Yubing, Wang, Jun, Sun, Liang et al. (2019). Evaluation of E-nose data analyses for discrimination of tea plants with different damage types . 126(1), 29-38. 10.1007/s41348-018-0193-1

cited authors

  • Sun, Yubing; Wang, Jun; Sun, Liang; Cheng, Shaoming; Xiao, Qiang

sustainable development goals

authors

publication date

  • February 1, 2019

keywords

  • Agriculture
  • Agriculture, Multidisciplinary
  • CLASSIFICATION
  • CONSUMPTION
  • DIMENSIONALITY REDUCTION
  • ELECTRONIC-NOSE
  • EXTRACTS
  • EXTREME LEARNING-MACHINE
  • Electronic nose
  • Life Sciences & Biomedicine
  • Plant Sciences
  • Plant pest detection
  • SVM
  • Science & Technology
  • Signal processing method
  • Tea plant

Digital Object Identifier (DOI)

publisher

  • SPRINGER HEIDELBERG

start page

  • 29

end page

  • 38

volume

  • 126

issue

  • 1