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Journals
Journal of Horticultural Research
Volume 29 (2021): Issue 2 (December 2021)
Open Access
Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees
Waldemar Treder
Waldemar Treder
,
Krzysztof Klamkowski
Krzysztof Klamkowski
,
Anna Tryngiel-Gać
Anna Tryngiel-Gać
and
Katarzyna Wójcik
Katarzyna Wójcik
| Dec 13, 2021
Journal of Horticultural Research
Volume 29 (2021): Issue 2 (December 2021)
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Article Category:
Short communication
Published Online:
Dec 13, 2021
Page range:
85 - 94
Received:
Jul 01, 2021
Accepted:
Oct 01, 2021
DOI:
https://doi.org/10.2478/johr-2021-0017
Keywords
image analysis
,
plant morphology
© 2021 Waldemar Treder et al., published by Sciendo
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 License.
Figure 1
Flow chart of the image processing procedure for measuring the total surface area of flowers
Figure 2
Flow chart of the image processing procedure for measuring the total length of tree shoots
Figure 3
Example of image processing for the assessment of flowering intensity (a – original image, b – image after thresholding)
Figure 4
Processing steps for skeletonizing the photographic image of a tree (a – original, b – binary, c – skeleton)
Figure 5
Calibration model for estimating the flowering of trees in 2015 (n = 11)
Figure 6
Correlation between the estimated number of inflorescences and the actual number of inflorescences in 2015 (n = 27)
Figure 7
Calibration models for estimating the flowering of trees in 2016 (n = 10)
Figure 8
Calibration model for estimating tree growth vigor in 2015 (n = 10)
Figure 9
Correlation between the estimated tree growth vigor and the measured values (n = 26)
Values of absolute error in estimating the flowering intensity of pear trees based on image analysis (2015 and 2016)
Sampling date
MAE
MAPE
2015
6.11
21.8%
First measurement 2016
8.10
14.0%
Second measurement 2016
11.96
19.1%