We apply a variety of processes, data transformation models to obtain results from images taken across an unlimited area and over long periods of time
High frequency satellite images are key to precision farming, providing the ability to:
Cover large areas of growth around the world
Provide field level detail to observe spatial variability
Ensure that data is updated throughout the season
Decisions made at key stages of the crop production cycle
Easy to read maps.
Decisions based on data.
Multiple vegetation, moisture, growth indexes.
We have translated the Indexes into numbers, making it easier to see the evolution and possible growth problems.
Treatment of the clouds with our AI.
Productivity Maps.
Vegetation maps.
Moisture maps.
14-day weather forecast for each individual field for more flexible planning.
On-field changes notifications.
Precise problem area detection.
Downloadable scout report.
Totally energy autonomous
Air conditions (temperature, humidity, pressure).
Soil status (moisture up to 3 depths and temperature.
Intelligent alerts for any measurement variation.
Pro | Enterprise | |||
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Yearly cost per hectar/acre | 4,5€ |
4€ |
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Minimum hectares/acres | 100 | 1000 |
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Users | 5 | 10 |
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2 years of history | ||||
Analysis | ||||
Basic analysis | ||||
Comparison mode analysis | ||||
Deep analysis | ||||
Indexes | ||||
NDVI | ||||
NDMI | ||||
NDRE | ||||
RECI | ||||