Soil-line vegetation indices for corn nitrogen content prediction
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| 1 | Department of Agricultural Technology and Engineering, University of Tehran, Karaj, Iran |
| 2 | Department of Geography, University of Tehran, Karaj, Iran |
Publication date: 2021-01-18
Int. Agrophys. 2012, 26(2): 103–108
KEYWORDS
ABSTRACT
The soil-line vegetation indices for prediction of corn canopy nitrogen content were investigated. Results indicated that the vegetation indices applied were correlated with corn canopy nitrogen content and the wavelengths between 630-860 nm are suitable for nitrogen diagnosis. The second-order polynomial equation was the best model for nitrogen content prediction among different regression types. Analyses based on both predicted and measured data were carried out to compare the performance of existing vegetation indices.
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