Evaluating winter wheat (Triticum aestivum L.) nitrogen status using canopy spectrum reflectance and multiple statistical analysis

Reasonable adoption of nitrogen fertilizers is significant in increasing wheat production, improving wheat quality, and environmental protection. This research applies the multiple statistical analysis technique to extract sensitive spectral bands and establish a spectrum monitoring model in determining accumulation nitrogen deficit. The major bands of the spectrum monitoring model in different nitrogen models are 440 and 610 nm. The higher value of the coefficient of the determination in estimating the model indicates lower root mean squared error and relative error. Therefore, appropriate nitrogen fertilization can be achieved by observing the winter wheat spectrum before the flowering stage.