Simulation assets for
agritech
Farm robotics — weeding, spraying, harvesting, autonomous tractors — need simulation environments with accurate crops, soil, implements, and equipment. Rigyd converts agricultural 3D catalogs into physics-enabled SimReady assets.
The problem
Why existing workflows fall short.
Biological variability is enormous
Every plant is unique: leaf shape, stem stiffness, fruit mass, ripeness stage. Capturing this variability for perception and manipulation training is effectively impossible by hand.
Outdoor physics demands varied contacts
Crops deform, branches bend, soil compresses, tools cut through material. Rigid-body approximations with default values miss how farm robots actually interact with biological materials.
Season-to-season asset reuse is low
A strawberry harvest model doesn't transfer to an apple orchard or a corn field. Each crop, each growth stage, and each implement needs its own physically accurate asset set.
How Rigyd helps
AI-native infrastructure that automates the hard parts.
Crop and plant asset conversion
Convert 3D plant scans and crop models into physics-enabled assets with realistic mass and collision geometry — calibrated against biological material density and surface properties.
Farm equipment physics
Accurate mass and inertia estimation for tractors, implements, trailers, and tools — essential for autonomous tractor navigation and implement-coordinated training scenarios.
Material-based friction
Soil, foliage, fruit skin, and machinery surfaces each have distinct friction coefficients. Rigyd's material identification produces calibrated per-region values for every asset.
faster than manual crop and equipment asset preparation
better real-world performance with physics-accurate data
unique plant and equipment variants practical per season
Simulate your farm robotics at crop scale
Upload agricultural 3D models and get SimReady assets for farm robot training.
Starts at $29/month. 30 SimReady objects included.
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