Combining spectral and texture features of UAV hyperspectral images for leaf nitrogen content monitoring in winter wheat
Author:
Affiliation:
1. Science College of Information and Management, Henan Agricultural University, Zhengzhou, People’s Republic of China
2. Collaborative Innovation Center of Henan Grain Crops
Funder
he Key Scientific and Technological Projects of Henan Province
National Key Research and Development Program of China
Henan Modern Agriculture (Wheat) Research System
Publisher
Informa UK Limited
Subject
General Earth and Planetary Sciences
Link
https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.2019847
Reference45 articles.
1. Hyperspectral Imaging: A Review on UAV-Based Sensors, Data Processing and Applications for Agriculture and Forestry
2. Variance Inflation Factor: As a Condition for the Inclusion of Suppressor Variable(s) in Regression Analysis
3. New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat
4. Leaf nitrogen estimation in potato based on spectral data and on simulated bands of the VENμS satellite
5. Satellite image texture captures vegetation heterogeneity and explains patterns of bird richness
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