Nondestructive detection of rape leaf chlorophyll level based on Vis-NIR spectroscopy
作者: Jinbao LiuJichang HanXi ChenLei ShiLu Zhang
作者单位: 1Shaanxi Provincial Land Engineering Construction Group Co., Ltd, Xi'an, Shaanxi 710075, China
2Key Laboratory of Degraded and Unused Land Consolidation Engineering, The Ministry of Land and Resources, Xi'an, Shaanxi 710075, China
3Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, Shaanxi 710075, China
4Shaanxi Provincial Land Consolidation Engineering Technology Research Center, Xi'an, Shaanxi 710075, China
刊名: Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 2019, Vol.222
来源数据库: Elsevier Journal
DOI: 10.1016/j.saa.2019.117202
关键词: RapeChlorophyllSpectral reflectancePartial least squares regressionSpectral pre-processingChemometrics
英文摘要: Abstract(#br)Chlorophyll is an important factor for measuring the normal growth and development status of plants, and it is also of great significance for the management and utilization of agricultural water and fertilizers. In this study, the chlorophyll content of rapeseed leaves was taken as the research object, and the effect of spectral data pretreatment method on the spectral feature extraction and chlorophyll content prediction model was quantitatively studied. ASD FieldSpec Pro (350–2500 nm) spectrometer was used to measure the spectral reflectance of rape leaf samples, and the spectral reflectance characteristics of different chlorophyll contents were analyzed. The Savitzky-Golay nine-point smoothing of the reflectance spectrum was performed, and the first derivation (FD), second...
全文获取路径: Elsevier  (合作)

  • processing 加工
  • spectroscopy 分光学
  • reflectance 反射比
  • least 最少的
  • regression 海退
  • detection 探测
  • level 水准
  • chlorophyll 叶绿素
  • based 基于