Determination of leaf nitrogen content in apple and jujube by near-infrared spectroscopy.

ABSTRACT: The nitrogen content of apple leaves and jujube leaves is an important index to judge the growth and development of apple trees and jujube trees to a certain extent. The prediction performance of the two samples was compared between different models for leaf nitrogen content, respectively. The near-infrared absorption spectra of 287 apple leaf samples and 192 jujube leaf samples were collected. After eliminating the outliers by Mahalanobis distance method, the remaining spectral data were processed by six different preprocessing methods. BP neural network (BP), random forest regression (RF), least partial squares (PLS), K-Nearest Neighbor (KNN), and support vector regression (SVR) were compared to establish prediction models of nitrogen content in apple leaves and jujube leaves. The result

SUBMITTER: Bao J 

PROVIDER: S-EPMC11379683 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature