Agriculture de précision basée sur des données géoréférencées

Gérez des jeux de données massifs de drones avec les métadonnées GPS intactes. Entraînez des modèles sur de l'imagerie multi-spectrale. Validez avec l'expertise agronomique.

Max File Size

  • 10GB+

GPS Precision

  • RTK/PPK

Expert Review

  • In-Loop

Built for drone-scale imagery

Agricultural imagery is different. Orthomosaics stretch into gigabytes. Every pixel has GPS coordinates. Multi-spectral bands reveal what RGB cannot. Picsellia handles it all — no compromises on data fidelity.

Orthomosaic support

Upload multi-gigabyte stitched maps. Automatic tiling for efficient viewing and annotation.

GPS metadata extraction

Automatic parsing of EXIF coordinates, altitude, heading. Every annotation is geo-referenced.

Multi-spectral layers

RGB, NIR, thermal, NDVI — all linked to the same capture. Switch views during annotation.

Field & plot hierarchy

Organize imagery by farm, field, plot, and season. Query across time to track changes.

Data Ingestion

Processing
field_north_orthomosaic.tif
8.4 GB • GeoTIFF

  • 100% Extracted Metadata
  • 45.7640°N, 4.8357°E
  • 2024-07-15 10:32 UTC
  • Vineyard A / Block 3
  • 5 bands (RGB+NIR+RE)
  • Auto-tiling for annotation
  • In progress

Generating 256 tiles at 2048×2048px...

Original file preserved. Tiles generated for efficient annotation.

Agronomist expertise in every prediction

AI spots the patterns. Experts confirm the diagnosis. This loop ensures your disease detection and yield models reach the precision agriculture demands.

Expert Review Workflows

Agronomists validate AI predictions

  • Route low-confidence detections to your agronomists. They confirm disease identifications, correct misclassifications, and add domain knowledge the model lacks.
  • Disease confirmation by plant pathologists
  • Phenological stage validation
  • Nutrient deficiency verification
  • False positive filtering

Active Learning

Smart sampling for maximum impact

Not all samples need expert review. Picsellia identifies the edge cases — unusual disease presentations, ambiguous growth stages, rare conditions — and routes only those for annotation.

  • Uncertainty threshold 0.65
  • Samples requiring review 12% of predictions
  • Labeling effort saved 88%
  • Focus expert time on samples that improve model accuracy most

Applications

From vineyard to broadacre

Picsellia powers precision agriculture across crop types, from high-value vineyards to large-scale row crops.

Crop Health Monitoring

Track plant health across entire fields with drone and satellite imagery. Detect stress, nutrient deficiencies, and growth anomalies before they spread.

Disease Detection

Identify fungal infections, bacterial diseases, and pest damage at early stages. Geo-tagged alerts for precise treatment application.

Yield Estimation

Count fruits, measure crop density, and predict harvest volumes from aerial imagery. Plan logistics with accurate forecasts.

Soil Analysis

Map soil variability, moisture levels, and organic matter content. Create prescription maps for variable-rate application.

Data Management

Organize seasons of imagery

Agricultural data compounds over time. Query across years, compare seasonal patterns, track field evolution.

Temporal tracking

Link captures to growth stages. Compare same plot across weeks, months, years. Time-series analysis built in.

  • 2024 Season 2400 flights
  • 2023 Season 2000 flights
  • 2022 Season 1600 flights

Spatial hierarchy

Farm → Field → Plot → Row. Organize imagery to match your physical layout. Filter and search by location.

Domaine du Château

  • Parcelle Nord (12 ha)
  • Parcelle Sud (8 ha)
  • Parcelle Est (15 ha)

Smart queries

Find all disease detections from July 2024 in Block A. Export with GPS for precision spraying.

Query example

  • field: "Block A"
  • date: 2024-07*
  • label: "powdery_mildew"

→ 147 detections found

READY TO SCALE YOUR FARM ANALYTICS?

See how Picsellia handles drone-scale imagery with GPS precision and expert validation.