Research architecture
From sensing crops to designing crops.
A four-layer architecture for crop intelligence — digitize the physical crop, understand its mechanisms, predict its future, and design what it should become.
Physical to digital crop: imaging, 3D reconstruction and sensing turn a real crop into quantified traits.
See the evidenceDigital to explainable crop: coupling structure, radiation and photosynthesis with scientific AI.
See the evidenceToward a predictive crop: projecting growth under environment and management scenarios.
See the evidenceToward a designed crop: inverse design over genotype, environment and management.
See the evidence
Featured tools
Interactive computing, built to run in your browser.
Field capture, leaf optics, weather data and irrigation design, ready to run in your browser.
Sensor Recorder
Capture phone orientation, leaf inclination, location and solar geometry as timestamped field records.
Leaf BRDF Explorer
See how roughness, diffuse reflection and refractive index shape leaf reflectance, computed with the published study's model.
Weather Downloader
Retrieve NASA POWER agrometeorological data for a field and date range: the driving data for crop growth scenarios.
Irrigation Designer
Check a drip-irrigation layout: head losses, pressure at the farthest subunit and emitter flow variation.
Work together
Have a crop-science problem worth making computable?
I welcome research exchange, open-source collaboration, and carefully scoped commercial projects.
