Prediction of Chlorophyll Content in Different Light Areas of Apple Tree Canopies based on the Color Characteristics of 3D Reconstruction
Improving the speed and accuracy of chlorophyll (Ch1) content prediction in different light areas of apple trees is a central priority for understanding the growth response to light intensity and in turn increasing the primary production of apples. In vitro assessment by wet chemical extraction is t...
Main Authors: | Xiaodan Ma, Jiarui Feng, Haiou Guan, Gang Liu |
---|---|
Format: | Article |
Language: | English |
Published: |
MDPI AG
2018-03-01
|
Series: | Remote Sensing |
Subjects: | |
Online Access: | http://www.mdpi.com/2072-4292/10/3/429 |
Similar Items
-
Effect of nitrogen dressings to Jonathan apple trees in a long-term experiment
by: J. Papp
Published: (2000-02-01) -
Performance of an Ultrasonic Ranging Sensor in Apple Tree Canopies
by: Alexandre Escolà, et al.
Published: (2011-02-01) -
Indices for the Assessment of Glycoalkaloids in Potato Tubers Based on Surface Color and Chlorophyll Content
by: Shimeles Tilahun, et al.
Published: (2020-12-01) -
Potential of chlorophyll fluorescence and VIS/NIR spectroscopy measurement use for the detection of nitrogen content and disease infection of apple leaves
by: Václava Spáčilová, et al.
Published: (2011-01-01) -
Quantitative Assessment of Apple Mosaic Disease Severity Based on Hyperspectral Images and Chlorophyll Content
by: Yanfu Liu, et al.
Published: (2023-04-01)