Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system Article

Guo, Lianbo, Yu, Yunxin, Yu, Hanyue et al. (2019). Rapid quantitative analysis of adulterated rice with partial least squares regression using hyperspectral imaging system . Journal of the Science of Food and Agriculture, 99(12), 5558-5564. 10.1002/jsfa.9824

cited authors

  • Guo, Lianbo; Yu, Yunxin; Yu, Hanyue; Tang, Yun; Li, Jun; Du, Yu; Chu, Yanwu; Ma, Shixiang; Ma, Yuyang; Zeng, Xiaoyan

sustainable development goals

authors

publication date

  • September 1, 2019

published in

keywords

  • AMYLOSE
  • Agriculture
  • Agriculture, Multidisciplinary
  • Chemistry
  • Chemistry, Applied
  • Food Science & Technology
  • Life Sciences & Biomedicine
  • PLSR
  • Physical Sciences
  • QUALITY
  • Science & Technology
  • VARIETY
  • VISUALIZATION
  • adulterated rice
  • hyperspectral imaging
  • visualization map

Digital Object Identifier (DOI)

start page

  • 5558

end page

  • 5564

volume

  • 99

issue

  • 12