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arXiv Computer Vision By Md Hasibur Rahman, Faraz Ahmed, Hafiz Muhammad Bilal, Daniel Wells, Dylan Tobin, Tanzeel U. Rehman

From greenhouse climate to individual leaves: an organ-resolved model of lettuce growth

Read the original on arXiv Computer Vision →

A unified framework was created to simulate lettuce growth by modeling each leaf’s physiology and structure within a greenhouse environment. The model integrates leaf-level photosynthesis, carbon allocation, and 3‑D plant growth in NVIDIA Isaac Sim, allowing radiation interception to influence growth and vice versa. Validation against greenhouse data shows low prediction errors and demonstrates how variations in light, CO₂, and plant position affect dry weight, leaf number, and tipburn incidence.

Machine-generated by The Flow from the publisher's headline and feed description — not written or checked by a human. The full article lives at arXiv Computer Vision.

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