UAV-borne hyperspectral estimation of nitrogen content in tobacco leaves based on ensemble learning methods
Authors:
- Mingzheng ZhangMZMingzheng Zhang
- Tian’eN ChenTCTian’eN Chen
- Xiaohe GuXGXiaohe Gu
- Yan KuaiYKYan Kuai
- Cong WangCWCong Wang
- Dong ChenDCDong Chen
- Chunjiang ZhaoCZChunjiang Zhao
- 1 July 2023
- journal article
- research article
- Published by Elsevier in Computers and Electronics in Agriculture
- Vol. 211
Abstract
No abstract availableKeywords
This publication has 60 references indexed in Scilit:
- Improving Yield and Nitrogen Use Efficiency Simultaneously for Maize and Wheat in China: A ReviewPedosphere, 2016
- Quantifying forest canopy traits: Imaging spectroscopy versus field surveyRemote Sensing of Environment, 2015
- Delineation of management zones using an active canopy sensor for a tobacco fieldComputers and Electronics in Agriculture, 2014
- Unmanned aerial systems for photogrammetry and remote sensing: A reviewISPRS Journal of Photogrammetry and Remote Sensing, 2014
- Comparison of different methods for estimating nitrogen concentration in flue-cured tobacco leaves based on hyperspectral reflectanceField Crops Research, 2013
- Diagnostic mapping of canopy nitrogen content in rice based on hyperspectral measurementsRemote Sensing of Environment, 2012
- Digital repeat photography for phenological research in forest ecosystemsAgricultural and Forest Meteorology, 2012
- Relationship Between Hyperspectral Parameters and Physiological and Biochemical Indexes of Flue-Cured Tobacco LeavesAgricultural Sciences in China, 2007
- A Decision-Theoretic Generalization of On-Line Learning and an Application to BoostingJournal of Computer and System Sciences, 1997
- Modeled analysis of the biophysical nature of spectral shifts and comparison with information content of broad bandsRemote Sensing of Environment, 1992