Research

Decode &
Engineer

We decode the complexity of plant-environment interactions through data and modeling, then engineer those insights into resilient, optimized cultivation systems.

Track 1

Decoding Plant-Environment Complexity

We decode nature's complexity through engineering perspectives and data, building foundational models for simulation. Rather than focusing on mathematical models or AI techniques per se, we concentrate on uncovering the physiological principles of plants and their relationships with the environment hidden within data.

01
3D Plant Modeling & Light-Environment Simulation Beyond observation — computing light at canopy scale
02
Plant Growth Dynamics Translating biological complexity into efficient numerical models
03
Electric Field Biology An open frontier in plant–environment research
Three growth chambers with different LED spectra (white, yellow, magenta) growing cucumber plants
Track 2

Engineering Cultivation Systems

Building on the principles and data decoded and modeled in Track 1, we design and optimize sustainable agricultural production systems that remain stable even under external uncertainties.

01
LLM Application in Agriculture Encoding expert knowledge into language models for agricultural decision-making
02
Energy-Food Nexus & System Optimization Maximizing the conversion of energy to biomass
Plant under multi-spectral LED lighting in a growth chamber

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