How Abelio Reduced Time-to-Model for Precision Agriculture
From fragmented AWS infrastructure to unified MLOps: Abelio now delivers farmer insights within 48 hours of image acquisition.
Get Similar ResultsAbelio is a digital farming solutions provider that uses computer vision to process aerial imagery from drones and satellites. They deliver insights that help farmers optimize yields, reduce costs, and minimize environmental impact across large-scale agricultural operations.
Abelio needed to process massive volumes of aerial imagery during peak farming seasons while meeting strict 48-hour delivery timelines.
During peak farming seasons, image processing increased fourfold. Managing terabytes of drone and satellite imagery required robust infrastructure.
Farmers needed insights within 48 hours of image acquisition. Time-consuming model retraining threatened these critical deadlines.
AWS services (S3, EC2, SageMaker) lacked integrated tools for image visualization and dataset management, creating workflow gaps.
Lack of traceability across diverse environments made it impossible to reproduce experiments or track what worked.
From challenges to solutions
- —Fragmented AWS infrastructure (S3, EC2, SageMaker)
- —No integrated tools for image visualization
- —Time-consuming model retraining processes
- —Lack of traceability across environments
- —Difficult to reproduce experiments
- Centralized data management platform
- Efficient retraining workflows
- Full experiment reproducibility
- Streamlined annotation campaigns
- 48-hour delivery to farmers
“With Picsellia, we can now deliver insights to farmers within 48 hours of image acquisition. The platform handles our seasonal data spikes without issues while maintaining full traceability.”
How Abelio uses Picsellia
Centralize drone and satellite images with metadata into searchable datalake
Structured campaigns with progress tracking and quality control for crop analysis
Fast iteration cycles with versioned datasets and tracked parameters
Track accuracy across different crop types and seasonal conditions
How Picsellia delivered
Picsellia provided Abelio with a unified platform to manage their entire agricultural imaging pipeline at scale.
Centralized Data Management
Datalake →Simplified image storage and organization for terabytes of aerial imagery. Powerful querying and visualization capabilities.
Efficient Retraining Workflows
Experiment Tracking →Streamlined processes to meet 48-hour delivery timelines. From image acquisition to farmer insights in record time.
Annotation Quality Control
Annotation Campaigns →Campaign tools enabling progress tracking and quality control. Improved annotation efficiency and consistency.
Full Reproducibility
Dataset Management →Dataset versioning and parameter recording ensures every experiment can be reproduced and compared.
Business impact
Abelio transformed their agricultural imaging pipeline to deliver faster, more reliable insights to farmers.
Reduced retraining cycles to meet strict farmer delivery timelines, from image acquisition to actionable insights.
Better dataset reliability stabilized models, increasing precision and recall across crop analysis tasks.
Effectively managed fourfold increases in data volume during peak farming seasons.
Full experiment tracking through dataset versioning and parameter recording.
Ready to achieve similar results?
See how Picsellia can help your team build and deploy computer vision models faster.