Estimation of the Total Nonstructural Carbohydrate Concentration in Apple Trees Using Hyperspectral Imaging

The total nonstructural carbohydrate (TNC) concentration is an important indicator of the growth period and health of fruit trees. Remote sensing can be applied to monitor the TNC concentration in crops in a non-destructive manner. In this study, hyperspectral imaging from an unmanned aerial vehicle...

Full description

Saved in:
Bibliographic Details
Published in:Horticulturae 2023-08, Vol.9 (9), p.967
Main Authors: Kang, Ye-Seong, Park, Ki-Su, Kim, Eun-Ri, Jeong, Jong-Chan, Ryu, Chan-Seok
Format: Article
Language:English
Subjects:
Apple
apple tree
Apples
Carbohydrates
Carbon
Comparative analysis
Decomposition
Drone aircraft
Estimation
Fruit trees
Fruits
Gaussian process
Gaussian process regression
Horticulture
Hyperspectral imaging
Least squares method
Machine learning
Measurement
Multispectral photography
Nitrogen
Nutrient concentrations
Nutritional aspects
Physiological aspects
Ratios
Regression
Regression analysis
Remote sensing
Sensors
Software
total nonstructural carbohydrate
Trees
unmanned aerial vehicle
Unmanned aerial vehicles
Vegetation
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The total nonstructural carbohydrate (TNC) concentration is an important indicator of the growth period and health of fruit trees. Remote sensing can be applied to monitor the TNC concentration in crops in a non-destructive manner. In this study, hyperspectral imaging from an unmanned aerial vehicle was applied to estimate the TNC concentration in apple trees. Partial least-squares regression, ridge regression, and Gaussian process regression (GP) were used to develop estimation models, and their effectiveness using selected key bands as opposed to full bands was evaluated in an effort to reduce computational costs and improve reproducibility. Nine key bands were identified, and the GP-based model using these key bands performed almost as well as the models using full bands. These results can be combined with previous studies on estimating the nitrogen concentration to provide useful information for more precise nutrient management to improve the yield and quality of apple trees.
ISSN:2311-7524
2311-7524
DOI:10.3390/horticulturae9090967