Currently in pilot version working at partners, Curion shows very promising results concerning harvest prediction. Together with IUNU, Octiva is finetuning the algorithms to enable full crop prediction including detection of plagues and diseases.
How it works
Curion counts the amount of flowers and berries per ripeness stage
Ripeness assessment and anomaly detection gives you a clear view on the state of your crop
Complete harvest prediction
Disease and plague monitoring based upon visual analysis
Integrated with IUNU
By partnering with IUNU, Octiva has access to best-in-class AI powering up scouting robot Curion.
Why Curion?
allow for a complete monitoring of your crop, instead of limited sampling
see what you need to see: your attention will be drawn to deviations in the growing system
use advanced monitoring as input for your breeding program
track daily changes in ripeness
extendable with the evolution of crop properties such as size, shape and inflorescence structure
works completely autonomously, no extra work
modular system
no structural changes to your infrastructure needed
