An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat-Reference-Cited by-同舟云学术

An assessment of multi-view spectral information from UAV-based color-infrared images for improved estimation of nitrogen nutrition status in winter wheat

Published:2022-05-19 Issue:5 Volume:23 Page:1653-1674
ISSN:1385-2256
Container-title:Precision Agriculture
language:en
Short-container-title:Precision Agric

Author:

Lu Ning,Wu Yapeng,Zheng Hengbiao,Yao Xia,Zhu Yan,Cao Weixing,Cheng Tao^ORCID

Funder

National Key R&D Program of China

Innovative Research Group Project of the National Natural Science Foundation of China

Collaborative Innovation Center for Modern Crop Production co-sponsored by Province and Ministry

Publisher

Springer Science and Business Media LLC

Subject

General Agricultural and Biological Sciences

Link

https://link.springer.com/content/pdf/10.1007/s11119-022-09901-7.pdf

Reference47 articles.

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2. Bremner, J. M. M. (1982). C.S Nitrogen-total. In Methods of Soil Analysis. Part 2 Chemical and Microbiological Properties. Madison, WI, USA: American Society of Agronomy, 595–624

3. Clevers, J. G. P. W., & Gitelson, A. A. (2013). Remote estimation of crop and grass chlorophyll and nitrogen content using red-edge bands on Sentinel-2 and – 3. International Journal of Applied Earth Observation & Geoinformation, 23, 344–351. https://doi.org/10.1016/j.jag.2012.10.008

4. Danner, M., Berger, K., Wocher, M., Mauser, W., & Hank, T. (2017). Retrieval of biophysical crop variables from multi-angular canopy spectroscopy. Remote Sensing, 9, 726. https://doi.org/10.3390/rs9070726

5. Erdle, K., Mistele, B., & Schmidhalter, U. (2011). Comparison of active and passive spectral sensors in discriminating biomass parameters and nitrogen status in wheat cultivars. Field Crops Research, 124, 74–84. https://doi.org/10.1016/j.fcr.2011.06.007

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