Plant Phenomics / 2020 / Article / Fig 4

Research Article

Semantic Segmentation of Sorghum Using Hyperspectral Data Identifies Genetic Associations

Figure 4

Example outcomes when classifying maize images using models trained on sorghum. (a) Whole image segmentation of a maize plant at flowering—genotype A635—using the best-performing sorghum-trained ANN as determined by cross validation accuracy in sorghum. Pixels predicted by the model to be background, leaf, stalk, and panicle are indicated in white, green, orange, and purple. (b) Whole image segmentation of the same maize plant by a QDA model trained on sorghum data. (c) Whole image segmentation of the same maize plant by a SVM model trained on sorghum data.