Advances in plant nutrition diagnosis based on remote sensing and computer application
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Title
Advances in plant nutrition diagnosis based on remote sensing and computer application
Authors
Keywords
Plant nutrition diagnosis, Hyperspectral, Canopy color, Satellite remote sensing, UAV
Journal
NEURAL COMPUTING & APPLICATIONS
Volume -, Issue -, Pages -
Publisher
Springer Nature
Online
2019-01-26
DOI
10.1007/s00521-018-3932-0
References
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Note: Only part of the references are listed.- Retrieving LAI, chlorophyll and nitrogen contents in sugar beet crops from multi-angular optical remote sensing: Comparison of vegetation indices and PROSAIL inversion for field phenotyping
- (2017) Sylvain Jay et al. FIELD CROPS RESEARCH
- Quantitative modelling for leaf nitrogen content of winter wheat using UAV-based hyperspectral data
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- Quantification of rice canopy nitrogen balance index with digital imagery from unmanned aerial vehicle
- (2015) Jinwen Li et al. Remote Sensing Letters
- A novel two-step method for winter wheat-leaf chlorophyll content estimation using a hyperspectral vegetation index
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- Optimising three-band spectral indices to assess aerial N concentration, N uptake and aboveground biomass of winter wheat remotely in China and Germany
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- HyperUAS-Imaging Spectroscopy from a Multirotor Unmanned Aircraft System
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- Estimating Wheat Shoot Nitrogen Content at Vegetative Stage from In Situ Hyperspectral Measurements
- (2013) Yansong Bao et al. CROP SCIENCE
- Review of optical-based remote sensing for plant trait mapping
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- Reflectance estimation of canopy nitrogen content in winter wheat using optimised hyperspectral spectral indices and partial least squares regression
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- Hyperspectral remote sensing of plant biochemistry using Bayesian model averaging with variable and band selection
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- Rapid estimation of canopy nitrogen of cereal crops at paddock scale using a Canopy Chlorophyll Content Index
- (2012) Eileen M. Perry et al. FIELD CROPS RESEARCH
- Non-uniform vertical nitrogen distribution within plant canopy and its estimation by remote sensing: A review
- (2012) Heli Li et al. FIELD CROPS RESEARCH
- Assessing leaf nitrogen content and leaf mass per unit area of wheat in the field throughout plant cycle with a portable spectrometer
- (2012) Martin Ecarnot et al. FIELD CROPS RESEARCH
- Hyperspectral remote sensing of foliar nitrogen content
- (2012) Y. Knyazikhin et al. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
- Radiometric and Geometric Analysis of Hyperspectral Imagery Acquired from an Unmanned Aerial Vehicle
- (2012) Ryan Hruska et al. Remote Sensing
- Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)
- (2010) Glenn Fitzgerald et al. FIELD CROPS RESEARCH
- New spectral indicator assessing the efficiency of crop nitrogen treatment in corn and wheat
- (2010) Pengfei Chen et al. REMOTE SENSING OF ENVIRONMENT
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