Surrogate · AgTech
Gaussian Process Regression for AgTech
Apply the gaussian process regression to real agtech problems — in the browser, with AI assistance.
GPs model outputs as draws from a distribution over functions, giving both predictions and calibrated uncertainty for expensive simulations.
In agtech, teams face challenges like water transport, soil mechanics, yield optimization. The gaussian process regression directly supports use cases such as irrigation flow, soil dem, greenhouse airflow, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical AgTech use cases
- Irrigation flow
- Soil DEM
- Greenhouse airflow
Upgrade your workspace
Research Paper Repro Kit — $29
Tools to reproduce and publish results from a paper.
Recommended products
Extended Storage +50GB
$5Add 50GB of project and result storage for a month.
Benchmark Comparison Report
$9Compare your results to published benchmark cases.
Independent Researcher
$24/moThe independent researcher's plan with publication rights.
Sponsored Library Listing
$49/moFeature your model or service in the Community Library.
Long-Run Extension +2h
$5Extend a single cloud job's wall-clock limit by two hours.
Surrogate Instant Preview
$14Build an AI surrogate model for near-instant parameter previews.