Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data
Author:
Affiliation:
1. College of Computer Science and Engineering, Shandong University of Science and Technology, Qingdao, China
2. Geometrics College, Shandong University of Science and Technology, Qingdao, China
Funder
National Natural Science Foundation of China
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2016.1253899
Reference42 articles.
1. Light Reflectance Compared with Other Nitrogen Stress Measurements in Corn Leaves
2. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat
3. A new technique for extracting the red edge position from hyperspectral data: The linear extrapolation method
4. Remote sensing of foliar chemistry
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