Predicting maize leaf area index by partial least square combined with wavelet transform-Reference-Cited by-同舟云学术

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Predicting maize leaf area index by partial least square combined with wavelet transform

Published:2022-09 Issue:5 Volume:114 Page:2860-2873
ISSN:0002-1962
Container-title:Agronomy Journal
language:en
Short-container-title:Agronomy Journal

Author:

Wang Zhonglin¹²³^ORCID,Chen Junxu¹²,Raza Muhammad Ali¹²⁴^ORCID,Zhang Jiawei¹²,Tan Xianming¹²,Saeed Amjad⁴,Ma Jun³,Yang Feng¹²^ORCID,Yang Wenyu¹²

Affiliation:

1. College of Agronomy Sichuan Agricultural Univ. Chengdu 611130 P.R. China

2. Sichuan Engineering Research Center for Crop Strip Intercropping System Chengdu 611130 P.R. China

3. Rice Research Institute Sichuan Agricultural Univ. Chengdu 611130 P.R. China

4. National Research Center of Intercropping Islamia Univ. of Bahawalpur Bahawalpur Pakistan

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/agj2.21167

Reference64 articles.

1. Long-rotation sugarcane in Hawaii sustains high carbon accumulation and radiation use efficiency in 2nd year of growth

2. Improved variable reduction in partial least squares modelling based on Predictive-Property-Ranked Variables and adaptation of partial least squares complexity

3. Improved variable reduction in partial least squares modelling by Global-Minimum Error Uninformative-Variable Elimination

4. Comparative analysis of three chemometric techniques for the spectroradiometric assessment of canopy chlorophyll content in winter wheat

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3. Stratified diagnosis of cotton canopy spectral characteristics based on CWT-SPA and its relationship with moisture, nitrogen, and SPAD values;International Journal of Remote Sensing;2024-01-15

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