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Fig. 9 | Plant Methods

Fig. 9

From: Free and open-source software for object detection, size, and colour determination for use in plant phenotyping

Fig. 9

A Training data of predicted total chlorophyll content determined from RGB colour space of test basil leaves captured on a Nikon D60 against total chlorophyll content determined via extraction and spectrophotometry in µg chlorophyll per g wet mass basil. The r2 value is inset, the black dashed line indicates the y = x line and the blue line indicates the fit of the observed and actual data. B The blue squares show the validation data points predicted by the model and the dashed line indicates the y = x line. C The standardised residuals of the training dataset, pink circles, and validation dataset, blue squares of the model fit and descriptive statistics of the model, with d.f; F and p indicating the degrees of freedom, F value and p value for an ANOVA of the predicted against observed values of the model for the training and validation datasets. RMSE is the root mean square error of the model

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