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Application of ImageJ Software in the assessment of flowering Intensity and growth Vigor of Pear Trees

Waldemar Treder

Waldemar Treder

The National Institute of Horticultural ResearchSkierniewice, Poland
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Treder, Waldemar
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Krzysztof Klamkowski

Krzysztof Klamkowski

The National Institute of Horticultural ResearchSkierniewice, Poland
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Klamkowski, Krzysztof
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Anna Tryngiel-Gać

Anna Tryngiel-Gać

The National Institute of Horticultural ResearchSkierniewice, Poland
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Tryngiel-Gać, Anna
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Katarzyna Wójcik

Katarzyna Wójcik

The National Institute of Horticultural ResearchSkierniewice, Poland
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Wójcik, Katarzyna
  
13. Dez. 2021
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Artikel-Kategorie: Short communication
Online veröffentlicht: 13. Dez. 2021
Seitenbereich: 85 - 94
Eingereicht: 01. Juli 2021
Akzeptiert: 01. Okt. 2021
DOI: https://doi.org/10.2478/johr-2021-0017
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© 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
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
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)
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)
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)
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)
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)
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)
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)
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%
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