Estimating leaf nitrogen content in wheat using multimodal features extracted from canopy spectra

HIGHLIGHTS

  • who: Zhiwei Gao and collaborators from the School of Information and Computer, Anhui Agricultural University, Hefei, China have published the research work: Estimating Leaf Nitrogen Content in Wheat Using Multimodal Features Extracted from Canopy Spectra, in the Journal: Agronomy 2022, 1915 of /2022/
  • what: The authors propose an estimation model based on multimodal features (convolutional features and VIs BPs) of the canopy spectrum which aim to improve accuracy in wheat LNC. On one hand, the analysis and processing method of the canopy spectrum can effectively extract different spectral features, including specific spectral preprocessing, selection of . . .

     

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