# Precision agriculture built on geo-referenced data

Manage massive drone datasets with GPS metadata intact. Train models on multi-spectral imagery. Validate with agronomist expertise.

Max File Size  
10GB+

GPS Precision  
RTK/PPK

Expert Review  
In-Loop

10GB+  
Single file support

RTK

GPS precision  
5 bands

Multi-spectral  
98%

Expert-validated  
Data Layer

## 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.

Human-in-the-Loop

## 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
- 98.2% Disease ID accuracy after expert review
- 0.3% False positive rate
- 4.2h Avg review time per 1000 samples
- 12× Throughput increase vs manual scouting

## Applications

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.

10GB+  
File support

RTK/PPK  
GPS precision

98%  
Validated accuracy

12×  
Faster than scouting