Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images

Inversion of Nitrogen Concentration in Apple Canopy Based on UAV Hyperspectral Images

As the major nutrient affecting crop growth, accurate assessing of nitrogen (N) is crucial to precise agricultural management. Although improvements based on ground and satellite data nitrogen in monitoring crops have been made, the application of these technologies is limited by expensive costs, co...

Full description

Bibliographic Details
Main Authors: Jiang, Y. (Author), Li, M. (Author), Li, W. (Author), Tang, X. (Author), Xue, Y. (Author), Yu, X. (Author), Zhang, C. (Author), Zhang, J. (Author), Zhu, X. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Antennas
Backpropagation
backpropagation neural network
Back-propagation neural networks
canopy extraction
Canopy extraction
Crops
Decision trees
Fruits
hyperspectral image data
Hyperspectral image datas
Inverse problems
Least squares approximations
Mean square error
Neural networks
Nitrogen
Nitrogen concentrations
nitrogen inversion
Nitrogen inversion
Red edge parameters
remote sensing
Remote sensing
Remote-sensing
Spectral indices
Spectral parameters
Spectroscopy
Two bands
UAV
Unmanned aerial vehicles (UAV)
Vegetation
Online Access:View Fulltext in Publisher

Internet

View Fulltext in Publisher

Similar Items