# 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.