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Fig. 1 | Plant Methods

Fig. 1

From: CropPainter: an effective and precise tool for trait-to-image crop visualization based on generative adversarial networks

Fig. 1

The overall flowchart. A Original RGB rice image. B Rice panicle image after segmentation. C Rice panicle image datasets along with phenotypic traits extracted by LabVIEW. D Randomly dividing the datasets into a training set and testing set. E Network Training. F Trained CropPainter model. G Generating virtual rice panicle images from traits in the testing set. H Extending CropPainter to visualize rice, maize and cotton plants

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