Estimating nitrogen status of rice canopy using hyperspectral reflectance combined with BPSO-SVR in cold region-Reference-Cited by-同舟云学术

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Estimating nitrogen status of rice canopy using hyperspectral reflectance combined with BPSO-SVR in cold region

Published:2018-01 Issue: Volume:172 Page:68-79
ISSN:0169-7439
Container-title:Chemometrics and Intelligent Laboratory Systems
language:en
Short-container-title:Chemometrics and Intelligent Laboratory Systems

Author:

Tan Kezhu,Wang Shuwen,Song Yuzhu,Liu Yao,Gong Zhenping

Funder

National High-tech Research and Development Program of China

Postdoctoral Science-research Developmental Foundation of Heilongjiang Province

Natural Science Foundation of Heilongjiang Province

Science and Technology Innovation Talent Program of Harbin

China Scholarship Council

Publisher

Elsevier BV

Subject

Spectroscopy,Process Chemistry and Technology,Computer Science Applications,Software,Analytical Chemistry

Reference48 articles.

1. Nitrogen rate and timing effects on growth and yield of drill-sown rice;Dunn;Crop Pasture Sci.,2016

2. Nitrogen deficiency effects on plant growth, leaf photosynthesis, and hyperspectral reflectance properties of sorghum;Zhao;Eur. J. Agron.,2005

3. Exploring hyperspectral bands and estimation indices for leaf nitrogen accumulation in wheat;Yao;Int. J. Appl. Earth Obs.,2010

4. Monitoring rice nitrogen status using hyperspectral reflectance and artificial neural network;Yl;Environ. Sci. Technol.,2007

5. Estimation of rice leaf nitrogen contents based on hyperspectral LIDAR;Du;Int. J. Appl. Earth Obs.,2016

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