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Fig. 9 | Plant Methods

Fig. 9

From: An image analysis pipeline for automated classification of imaging light conditions and for quantification of wheat canopy cover time series in field phenotyping

Fig. 9

Boxplots of three quality measures, Qseg (a), Sr (b) and Es (c), showing the performance of for canopy cover segmentation using the μRow, Otsu and three types of ML-based models (MALC, MHLC, MLLC models using DT and SVM algorithms), which were evaluated on 20 LLC images (Class 1) and 20 HLC images (Class 2). Non-overlapped box notches indicate significant differences between the segmentation methods, with 95% confidence. The 40 reference images for validation are publicly available in the ‘figshare’ repository [30]

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