September 22, 2026
New Digital Plant Model Connects Greenhouse Climate to Individual Leaf Growth
Our new paper is out on arXiv! š±
"From greenhouse climate to individual leaves: an organ-resolved model of lettuce growth"
Digital twins have changed how we build engineering systems. You test in simulation, deploy in the real world, and when something unexpected happens, you send it back to the simulation, fix it, and deploy again. That creates a continuous loop:
š¦š¶šŗ ā š„š²š®š¹ ā š¦š¶šŗ
This loop works because we know how machines work on the inside.
That made us ask:
šš®š» šš² šÆšš¶š¹š± ššµš² šš®šŗš² š¹š¼š¼š½ š³š¼šæ š½š¹š®š»šš š“šæš¼šš¶š»š“ š¶š» š® š°š¼š»ššæš¼š¹š¹š²š± š²š»šš¶šæš¼š»šŗš²š»š?
If we can, the greenhouse could manage its climate and energy the way the plants actually need. And if some condition starts hurting the crop, we could test better conditions in simulation first, before risking the real plants. But plants are not machines. The missing piece is š® š±š¶š“š¶šš®š¹ š½š¹š®š»š ššµš®š š“šæš¼šš ššµš² šš®š š® šæš²š®š¹ š¼š»š² š±š¼š²š.
So we built one, š¹š²š®š³ šÆš š¹š²š®š³, in Isaac Sim by NVIDIA Robotics, where each leaf experiences the greenhouse conditions at its own position. Each leaf:
šæ senses the local environment
šæ performs photosynthesis
šæ spends carbon on maintenance
šæ uses the rest to grow by following physiological rules, while a morphology engine shapes the 3D plant
As the plant grows, it changes the conditions each leaf experiences, and those conditions shape the plant back. You can watch it happen in the video. š„
A few things it showed us:
š Predicted real plant dry weight within šµ.š±% error
š± Captured growth differences across plants caused by neighbor shading
š Showed tipburn risk rising in young inner leaves at the same time tipburn appeared on the real plants
This digital plant is the forward model we need to š°š¹š¼šš² ššµš² šš¶šŗ-šæš²š®š¹-šš¶šŗ š¹š¼š¼š½ š³š¼šæ š¹š¶šš¶š»š“ ššššš²šŗš.
š https://lnkd.in/eUxU8WTi
Big thanks to Faraz Ahmad and my supervisor, Dr. Tanzeel Rehman. Iām also grateful to Dr. Daniel Wells for providing resources, Hafiz Muhammad Bilal for his support, and Dylan Tobin for his valuable insights throughout the project.
More to come. š
#DigitalTwin #ControlledEnvironmentAgriculture #PlantScience #NVIDIAIsaacSim #PhysicalAI #AuburnUniversity