Sounds like a neat idea—using a model to predict leaf health could help catch problems early, especially if it’s trained on real data. Just remember the plants are more than numbers; lighting, soil microbiome, and subtle stresses can slip through a model’s eye. If you feed it enough varied examples, it could become a useful tool, but keep the data fresh and be ready to adjust when the plants don’t behave exactly as the code predicts. And don’t forget to test it in a small, real greenhouse first before trusting it for big decisions.