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Fig. 6 | Plant Methods

Fig. 6

From: Data-driven crop growth simulation on time-varying generated images using multi-conditional generative adversarial networks

Fig. 6

Time-varying image generation for Mixed-CKA with, in the top row, reference images with an early growth stage as input (cyan frame), in the second row, all day-wise generated predictions, and, in the third row, standard deviation images over ten predictions with different noise input \(\varvec{z}\) and otherwise constant input conditions. The two bottom rows show the quality metrics: learned perceptual image patch similarity (LPIPS), multiscale structural similarity (MS-SSIM), and the biomass differences for spring wheat (\(\Delta \text {BM}_\text {SW}\)) and faba bean (\(\Delta \text {BM}_\text {FB}\))

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Plant Methods

ISSN: 1746-4811