Spectral monitoring of wheat leaf nitrogen content based on canopy structure information compensation

Author:

Li Huaimin,Zhang Jingchao,Xu Ke,Jiang Xiaoping,Zhu Yan,Cao Weixing,Ni Jun

Funder

Priority Academic Program Development of Jiangsu Higher Education Institutions

Jiangsu Provincial Key Research and Development Program

National Natural Science Foundation of China

Higher Education Discipline Innovation Project

Nanjing Agricultural University

Six Talent Peaks Project in Jiangsu Province

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Horticulture,Computer Science Applications,Agronomy and Crop Science,Forestry

Reference45 articles.

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2. Investigation of the textural characteristics associated with gray level cooccurrence matrix statistical parameters;Baraldi;IEEE Trans. Geoence Remote Sens.,1995

3. Active canopy sensing of winter wheat nitrogen status: An evaluation of two sensor systems;Cao;Comput. Electron. Agr.,2015

4. Retrieval of canopy biophysical variables from bidirectional reflectance: Using prior information to solve the ill-posed inverse problem;Combal;Remote Sens. Environ.,2003

5. Estimation of vegetation LAI from hyperspectral reflectance data: Effects of soil type and plant architecture;Darvishzadeh;Int. J. Appl. Earth Obs.,2008

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