Abstract:

The research was expected to evaluate the possibility and application potential of spectral analysis on predicting nutritional element of fruit trees. The experiment was designed to determine whether nitrogen concentrations could be predicted from reflectance spectra of peach leaved in laboratory, and if so, whether the predictive spectral features could be correlated with nitrogen concentration of peach. Firstly, we measured the specific reflectance (Rλ) of peach tree fresh leaves and the leaves total nitrogen(TN), and analyzed the statistical correlation between each element content and Rλ as well as its several transformations (1/Rλ、log Rλ、d Rλ） within the wavelength range from 400 nm to 1000 nm by factor analysis method, and the spectral reflectance variant of the highest correlation coefficient. Subsequently, we carried on the regression analysis of N content and the corresponding spectral reflectance variant of the highest correlation coefficient by stepwise regression method. The results showed that the correlation coefficient was the highest between the leaves TN and d Rλ. As a whole, the method of spectral analysis had some application potential to predict TN element of peach trees.