Remote Sensing Inversion of Nitrogen Nutrition Status of Apple Tree Leaves during Stopping Period of Spring Shoots

作     者：Tianlin Liu Xicun Zhu Xueyuan Bai Yufeng Peng Zhongyu Tian Meixuan Li Yuanmao Jiang 

作者机构：College of Resources and EnvironmentShandong Agricultural UniversityTai’an 271018China National Engineering Laboratory for Efficient Utilization of Soil and Fertilizer ResourcesShandong Agricultural UniversityTai’anShandongChina College of Horticulture Science and EngineeringShandong Agricultural UniversityNational Apple Engineering and Technology Research CenterTai’an 271018China 

出 版 物：《遥感科学（中英文版）》 (Remote Sensing Science)

年 卷 期：2020年第8卷第1期

页      面：1-8页

学科分类：0202[经济学-应用经济学] 02[经济学] 020205[经济学-产业经济学] 

基　　金：This paper was supported by the National Natural Science Foundation of China(41671346) the National Key Research and Development Program of China(2017YFE0122500) Shandong Major Scientific and Technological Innovation Project(2018CXGC0209) the Taishan Scholar Assistance Program from Shandong Provincial Government,Funds of Shandong“Double Tops”Program(SYL2017XTTD02) 

主　　题：Apple Tree Stopping Period of Spring Shoots Nitrogen Nutrition Remote Sensing Inversion 

摘      要：The nutrient inversion model of apple leaves was established by spectral analysis technology to provide technical support for the fine management of apple *** Shuangquan Town,Changqing District,Jinan City,Shandong Province,the Fuji apple trees with stopping period of spring shoots were taken as research *** spectral reflectance and nitrogen content of apple leaves were measured by ASD Field Spec 4 portable ground object *** the correlation between leaf nitrogen content and spectral *** sensitive wavelengths with high correlation coefficient were select by fractional differential algorithm,and the optimal vegetation index was constructed and screened *** Least Square Regression(PLSR),Support Vector Machine(SVM)and Random Forests(RF)method were used to construct an inversion model of leaf nitrogen *** results show that the RF model based on fractional differential second-order treatment is the best inversion model for the nitrogen content of leaves during stopping period of spring *** modeling accuracy determination coefficient R2 reached 0.891,RMSE was 0.0841,and RPD was *** determination coefficient R2 of the fitting results of the verification set was 0.617,RMSE was 0.1251,and RPD was *** inversion model established by RF method is effective in monitoring the nitrogen content in apple leaves,which provides a theoretical basis for monitoring the growth of apple by hyperspectral technology.