Hyperspectral inversion of nitrogen content in maize leaves based on different dimensionality reduction algorithms-Reference-Cited by-同舟云学术

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Hyperspectral inversion of nitrogen content in maize leaves based on different dimensionality reduction algorithms

Published:2021-11 Issue: Volume:190 Page:106461
ISSN:0168-1699
Container-title:Computers and Electronics in Agriculture
language:en
Short-container-title:Computers and Electronics in Agriculture

Author:

Cao Chunling,Wang Tianli,Gao Maofang,Li Yang,Li Dandan,Zhang Huijie

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference35 articles.

1. Random forest regression and spectral band selection for estimating sugarcane leaf nitrogen concentration using EO-1 Hyperion hyperspectral data;Abdel-Rahman;Int. J. Remote Sens.,2013

2. Using ridge regression with genetic algorithm to enhance real estate appraisal forecasting;Ahn;Expert Syst. Appl.,2012

3. Unsupervised dimensionality reduction of hyperspectral images using representations of reflectance spectra;Aria;Int. J. Remote Sens.,2020

4. Enabling reduced-order data-driven nonlinear identification and modeling through naive elastic net regularization;Brewick;Int. J. Non Linear Mech.,2017

5. Near-infrared spectrum quantitative analysis model based on principal components selected by elastic net;Chen;Spectrosc. Spectral Anal.,2010

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