Preliminary Study on the Intertemporal Predictability of the Physiological Index of Early Rice Based on Hyperspectral

Hai-jun ZHU; Hong-yu FU; Xue-hua WANG; Guo-xian CUI; Ai-long SHI; Wei-chun XUE

doi:10.3964/j.issn.1000-0593(2022)01-0170-06

Spectroscopy and Spectral Analysis, Volume. 42, Issue 1, 170(2022)

Preliminary Study on the Intertemporal Predictability of the Physiological Index of Early Rice Based on Hyperspectral

Hai-jun ZHU^1、*, Hong-yu FU^{1、1; 2;}, Xue-hua WANG^{1、1; *;}, Guo-xian CUI^{1、1; 2; *;}, Ai-long SHI^1、1;, and Wei-chun XUE^3、3;

Author Affiliations

¹1. Agronomy College, Hunan Agricultural University, Changsha 410128, China

³3. Agriculture and Rural Bureau of Heshan District, Yiyang 413000, China

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Fig. 1. Analysis of intertemporal prediction model of chlorophyll content in early rice

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Fig. 2. Analysis of inter-temporal prediction model of rice leaf nitrogen content

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Fig. 3. Non-intertemporal prediction model of rice leaf nitrogen content and chlorophyll content

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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

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Paper Information

Category: Research Articles

Received: Dec. 4, 2020

Accepted: --

Published Online: Mar. 31, 2022

The Author Email: Hai-jun ZHU (921706423@qq.com)

DOI:10.3964/j.issn.1000-0593(2022)01-0170-06

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