Technology at the Core
Rijclant robots combine several cutting-edge technologies to deliver reliable, autonomous performance in demanding agricultural environments.
Built on Five Core Technologies
From the moment a robot enters an orchard to the second it uploads its harvest data, every step is powered by a tightly integrated stack of hardware and software technologies developed in-house at Rijclant.
Custom-trained neural networks detect and classify fruit by species, variety, ripeness and size in real time.
360° environmental mapping enables precise navigation and obstacle avoidance even in low-light conditions.
The patented gripper applies variable pressure calibrated to fruit firmness, eliminating bruising.
All perception and decision-making runs on-device, removing dependency on cloud connectivity for core operations.
Live data streaming to the Rijclant portal — battery, position, harvest counts, fault codes — always accessible.
Designed for the Real World
Our technology is validated across hundreds of field hours in Belgian orchards.
98%+ Detection Accuracy
Our computer vision models are trained on thousands of labelled orchard images across lighting conditions, seasons and apple varieties.
On-Device AI
All critical decisions are made on the robot itself. No cloud dependency means no latency, no downtime risk and full data privacy.
Live Telemetry
Every sensor reading, motor state and harvest count is streamed in real time to the Rijclant customer portal for full operational visibility.