Improving SPAD spectral estimation accuracy of rice leaves by considering the effect of leaf water content-Reference-Cited by-同舟云学术

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Improving SPAD spectral estimation accuracy of rice leaves by considering the effect of leaf water content

Published:2022-09-09 Issue:6 Volume:62 Page:2382-2395
ISSN:0011-183X
Container-title:Crop Science
language:en
Short-container-title:Crop Science

Author:

Yu Ziyang¹²^ORCID,Zhang Xinle³,Liu Huanjun⁴,Zhang Zhongchen⁵,Meng Linghua⁴,Han Yu⁶,Lu Lvping⁶

Affiliation:

1. School of Humanity and Law Northeastern Univ. Shenyang 110169 China

2. Key Laboratory of Land Protection and Use Dep. of Natural Resources of Liaoning Province Shenyang 110169 China

3. School of Information Technology JiLin Agricultural Univ. Changchun 130102 China

4. Northeast Institute of Geography and Agroecology Chinese Academy of Sciences Changchun 130102 China

5. College of Agriculture Northeast Agricultural Univ. Harbin 150030 China

6. School of Public Administration and Law Northeast Agricultural Univ. Harbin 150030 China

Publisher

Wiley

Subject

Agronomy and Crop Science

Link

https://onlinelibrary.wiley.com/doi/pdf/10.1002/csc2.20809

Reference47 articles.

1. Ratios of leaf reflectances in narrow wavebands as indicators of plant stress

2. Optical Properties of Intact Leaves for Estimating Chlorophyll Concentration

3. Spectroscopic determination of leaf water content using continuous wavelet analysis

4. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Simultaneously predicting SPAD and water content in rice leaves using hyperspectral imaging with deep multi‐task regression and transfer component analysis;Journal of the Science of Food and Agriculture;2024-09-02

2. Potential of multi-seasonal vegetation indices to predict rice yield from UAV multispectral observations;Precision Agriculture;2024-02-08

3. Identifying Core Wavelengths of Oil Tree’s Hyperspectral Data by Taylor Expansion;Remote Sensing;2023-06-15

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