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Fig. 12 | Plant Methods

Fig. 12

From: Monitoring of drought stress and transpiration rate using proximal thermal and hyperspectral imaging in an indoor automated plant phenotyping platform

Fig. 12

Relationship between measured and predicted transpiration rate for different genotypes. The Random Forest models that combined thermal, hyperspectral and meteorological data were used to predict transpiration rate (E). Genotypes were grouped based on the prediction accuracy of the model. The accurate group contained three genotypes (B104, NC358 and W153R) and is indicated by a light blue header. The moderately accurate group has an orange header and contains H99, OH43 and TZi8, while the less accurate group is marked with a red header and contains MS71 and TX303. The dots represent the predicted and measured E of individual plants, while the black line shows the one-to-one relationship. For B104, leave-one-out cross-validation predictions are shown, while the predictions of the other genotypes were created using a test set

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