Classical and machine learning tools for identifying yellow-seeded by fusion of hyperspectral features.

Journal: Frontiers in genetics
Published Date: Jan 15, 2025

Abstract

INTRODUCTION: Due to its favorable traits-such as lower lignin content, higher oil concentration, and increased protein levels-the genetic improvement of yellow-seeded rapeseed has attracted more attention than other rapeseed color variations. Traditionally, yellow-seeded rapeseed has been identified visually, but the complex variability in the seed coat color of has made manual identification challenging and often inaccurate. Another method, using the RGB color system, is frequently employed but is sensitive to photographic conditions, including lighting and camera settings.

Authors

  • Fan Liu
    Hunan Provincial Key Laboratory of Dong Medicine, Hunan University of Medicine, Huaihua, China.
  • Fang Wang
    Key Laboratory of Intelligent Computing and Information Processing of Ministry of Education and Hunan Key Laboratory for Computation and Simulation in Science and Engineering, Xiangtan University, Xiangtan, China.
  • Zaiqi Zhang
    Hunan Provincial Key Laboratory of Dong Medicine, Hunan University of Medicine, Huaihua, China.
  • Liang Cao
    Hunan Provincial Key Laboratory of Dong Medicine, Hunan University of Medicine, Huaihua, China.
  • Jinran Wu
    School of Mathematics and Physics, The University of Queensland, Brisbane, QLD, Australia.
  • You-Gan Wang
    School of Mathematics and Physics, The University of Queensland, Brisbane, QLD, Australia.

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