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)
Table 1
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% |
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)