Application of Vegetative Indices for Leaf Nitrogen Estimation in Sugarcane Using Hyperspectral Data
Author:
Funder
Fundação de Amparo à Pesquisa do Estado de São Paulo
Publisher
Springer Science and Business Media LLC
Subject
Agronomy and Crop Science
Link
https://link.springer.com/content/pdf/10.1007/s12355-023-01329-1.pdf
Reference56 articles.
1. Abdel-Rahman, E.M., F.B. Ahmed, and B.M. Van Den. 2010. Estimation of sugarcane leaf nitrogen concentration using in situ spectroscopy. International Journal of Applied Earth Observation and Geoinformation 12: 52–57.
2. Alvares, C.A., J.L. Stape, P.C. Sentelhas, J.D.M. Gonçalves, and G. Sparovek. 2013. Köppen’s climate classification map for Brazil. Meteorologische Zeitschrift 22: 711–728.
3. Amaral, L.R., and J.P. Molin. 2014. The Effectiveness of Three Vegetation Indices Obtained from a Canopy Sensor in Identifying Sugarcane Response to Nitrogen. Agronomy Journal 106: 273–280.
4. Amaral, L.R., J.P. Molin, and J.S. Schepers. 2015. Algorithm for Variable-Rate Nitrogen Application in Sugarcane Based on Active Crop Canopy Sensor. Agronomy Journal 107: 1513–1523.
5. Amaral, L.R., R.G. Trevisan, and J.P. Molin. 2017. Canopy sensor placement for variable-rate nitrogen application in sugarcane fields. Precision Agriculture 19: 147–160.
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