Fig. 1From: CropPainter: an effective and precise tool for trait-to-image crop visualization based on generative adversarial networksThe overall flowchart. AÂ Original RGB rice image. BÂ Rice panicle image after segmentation. CÂ Rice panicle image datasets along with phenotypic traits extracted by LabVIEW. DÂ Randomly dividing the datasets into a training set and testing set. EÂ Network Training. FÂ Trained CropPainter model. GÂ Generating virtual rice panicle images from traits in the testing set. HÂ Extending CropPainter to visualize rice, maize and cotton plantsBack to article page