Disease Detection
When monitoring flags a plot, your team goes to the tree.
Disease detection is built for the moment agronomists are standing at the trunk with phone or drone imagery in hand, comparing what the canopy shows against what our vision models expect. Black Pod, CSSVD, and Frosty Pod workflows start with what you capture on the ground.
Advanced Pathogen Detection
Spot early signs of Black Pod, CSSVD, and Frosty Pod with models trained and owned in-house, not a generic off-the-shelf detector.
AI-Powered Analysis
Our proprietary training pipeline targets cocoa pathology patterns you care about, so detections map to agronomic follow-up, not generic object labels.
Sub-millimeter Accuracy
Pinpoint early stages of fungal bloom and bark swelling at the smallest scales.
Batch Processing
Analyze large pools of farm images simultaneously without manual intervention.
Instant Protocols
Receive actionable treatment plans dynamically mapped to the severity score generated to drastically accelerate your time to recovery.
Workflow
How Disease Detection Works
Capture Images
Collect photos of cocoa pods and leaves from the field, from phones or drones.
Model review
Internally developed vision models highlight likely disease signatures for agronomist confirmation.
Apply Treatments
Review identified threats and execute recovery plans tailored to your severity score.
Standalone product
Run detection on a batch
Authenticated users can upload farm imagery directly, no satellite prerequisite. Full results page with map, treatment panel, and dossier PDF.