Solutions
Builtaroundyourfield,notabrochure.
CanTechPlus works across the full path from agricultural recognition problem to deployed, precise treatment. Engagements are scoped per crop, site and objective.
Services
Sixareasofwork.
AI Model Development
Custom machine-learning model development for agricultural recognition, built around the crops, weeds and conditions that matter to the deployment.
Object Detection & Targeting
Computer vision systems designed to identify crops, weeds and relevant agricultural targets, and to resolve them into actionable coordinates.
Precision Laser Integration
Integration of targeted laser systems with intelligent control, so treatment follows recognition rather than a fixed pattern.
Multi-Sensor Integration
Combining multiple sensor inputs into a unified agricultural perception system suited to the platform and environment.
Field Deployment
Bringing hardware, AI and agricultural systems together in practical environments, with iteration against real field behaviour.
Continuous Model Improvement
Using field data to refine agricultural recognition models over time as crops, seasons and weed pressure change.
Field applications
Whereprecisionearnsitsplace.
Focus areas and research directions for the CanTechPlus platform. Suitability is assessed per crop, site and deployment.
Crop fields
Open-field row crops where weeds and crops share the same ground.
Greenhouses & controlled agriculture
Structured, repeatable environments for perception and targeting work.
Vegetable & specialty crops
High-value crops where selective treatment matters most.
Weed management
Recognition and treatment of unwanted vegetation between crop rows.
Research environments
Collaboration on datasets, model performance and field trials.
Collaboration
Let’sbuildthenextgenerationofagriculture.
We work with farmers, agricultural operators, greenhouses, researchers, universities, government bodies, agricultural organisations, technology partners and investors.