• Spectroscopy and Spectral Analysis
  • Vol. 42, Issue 1, 170 (2022)
Hai-jun ZHU1、*, Hong-yu FU1、1; 2;, Xue-hua WANG1、1; *;, Guo-xian CUI1、1; 2; *;, Ai-long SHI1、1;, and Wei-chun XUE3、3;
Author Affiliations
  • 11. Agronomy College, Hunan Agricultural University, Changsha 410128, China
  • 33. Agriculture and Rural Bureau of Heshan District, Yiyang 413000, China
  • show less
    DOI: 10.3964/j.issn.1000-0593(2022)01-0170-06 Cite this Article
    Hai-jun ZHU, Hong-yu FU, Xue-hua WANG, Guo-xian CUI, Ai-long SHI, Wei-chun XUE. Preliminary Study on the Intertemporal Predictability of the Physiological Index of Early Rice Based on Hyperspectral[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 170 Copy Citation Text show less
    Analysis of intertemporal prediction model of chlorophyll content in early rice
    Fig. 1. Analysis of intertemporal prediction model of chlorophyll content in early rice
    Analysis of inter-temporal prediction model of rice leaf nitrogen content
    Fig. 2. Analysis of inter-temporal prediction model of rice leaf nitrogen content
    Non-intertemporal prediction model of rice leaf nitrogen content and chlorophyll content
    Fig. 3. Non-intertemporal prediction model of rice leaf nitrogen content and chlorophyll content
    Hai-jun ZHU, Hong-yu FU, Xue-hua WANG, Guo-xian CUI, Ai-long SHI, Wei-chun XUE. Preliminary Study on the Intertemporal Predictability of the Physiological Index of Early Rice Based on Hyperspectral[J]. Spectroscopy and Spectral Analysis, 2022, 42(1): 170
    Download Citation