K
Hectares monitored
22.0 ha
3 fields · 2 varieties
Active alerts
3
1 critical · 1 moderate · 1 forecast
Drone missions today
3
1 live · 2 scheduled · €7.20 cost
Saved this season
€38,420
vs blanket-treatment baseline
Active alerts
Rolling watch · last scan 14 min ago
Now
Live
Today's drone schedule
GNSS positioning · autonomous
Recent activity
Last 24 hours
Estate
Muráni · Modra
Fields in view
Mode
Analysis
NDVI · Vegetation index
Field:
Mission M-2026-058
Started 14:10 · ETA 14:48
LIVE
67 % complete12 of 18 transects
Telemetry
DroneCropGuard v.1
FieldField 1 · Block 4 · Riesling · 6.5 ha
SensorsRGB + NIR + RedEdge
Altitude10 m AGL
Speed8 m/s
Battery68 %
Data ingested so far8.2 GB
30-day history
Apr 6 → May 5 2026
7-day forecast
Disease pressure model
Predicted infection probability across pathogens, next 7 days
Yield protection (€)
€38,420
vs blanket baseline
Chemical reduction
−41 %
324 L not sprayed
Diseases prevented
11
9 mildew · 2 botrytis
CO₂ avoided
486 kg
vs blanket baseline
Cumulative savings — season 2026
By week, vs blanket-treatment baseline
Per-block performance
BlockVarietyAreaNDVI peakTreatmentsvs baselineYield est.Quality
Without SoilScale — what this season would have looked like
Based on traditional satellite + blanket-spray approach used by most vineyards in the region
Disease detections missed
7–9 days late
Satellites can only flag infection once lesions are visible. Drone catches it day 0–2.
Extra chemical use
+41 %
Without vine-level maps, every spray would be full-block blanket at maximum dose.
Yield loss (estimated)
8–14 %
Late-detection outbreaks typically destroy 25–40 % of bunches in affected blocks.
Revenue at risk
−€38 k
Across the 3 fields — equivalent to 38,420 € in protected yield this season alone.
Harvest schedule · Aug → Oct 2026
Each bar shows the optimal picking window predicted by the system
Grade A+ Grade A Grade B
Per-field forecast detail
FieldVarietyOptimal harvest°BrixYield (kg/ha)GradeConfidence
SoilScale forecast accuracy vs industry alternatives
How our 3 cm/px drone data improves harvest prediction over satellite-only or weather-model methods
Method
Harvest date accuracy
Yield accuracy
Spatial resolution
Disease detection lag
Satellite + weather model (typical competitor)
± 5–7 days
10 m pixel averages field zones
± 18–22 %
No vine-level stress data
10 m/px
Sentinel-2 revisit every 5 days
7–9 days
Only visible lesions detected
SoilScale drone-first
± 1–2 days
Brix modelled per-vine, per-row
± 4–6 %
Per-vine canopy health factored in
3 cm/px
Autonomous missions, on demand
0–2 days
Micro-symptom detection at leaf level
Bottom line: drone-first data gives you 4× more accurate harvest timing and catches disease 7 days earlier than any satellite-based platform — the two biggest drivers of premium wine quality.

Notifications

Choose where you want to be alerted when SoilScale detects something on your fields.

Email — critical alerts
Disease detection, severe stress events
Email — daily digest
Morning recap with NDVI changes & recommendations
SMS — critical only
+421 944 489 644
Webhook
Push to your farm management system

Integrations

Connect data sources and downstream tools.

Satellite imagery feed
Connected · Sentinel-2 · last sync 14 min ago
Drone fleet
Connected · CropGuard v.1, CropGuard v.1, CropGuard v.1
SoilScale weather station
Streaming · last reading 1 min ago
ISOBUS sprayer (John Deere R952i)
Not connected
K
Kristof
Pilot Vineyard #1
Admin · Pilot Vineyard #1
Member since
Mar 2026
Vineyards
1
Hectares
22.0
Your vineyards
Pilot Vineyard #1 · Modra wine region
Active · 22.0 ha · 3 fields · 2 varieties
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