See the plot from above
Satellite dashboard, image viewer and a per-plot NDVI workspace, with the index history and its statistics.
Pro module
Turn satellite, soil and scouting data into agronomic decisions that can be executed and reviewed.
Twelve capabilities wired to each other: satellite imagery, variability zones, GPS scouting, laboratory analysis and variable-rate prescriptions. Satellite is not a screen on its own — it feeds the fertilisation plan and the prescription that later runs in the field.
Satellite dashboard, image viewer and a per-plot NDVI workspace, with the index history and its statistics.
Crop monitoring and vegetation reports show where the plot is not uniform, instead of an average that hides the problem.
Field scouting with track, points, photos and observations, and a report you can download or email.
Georeferenced soil sampling, laboratory profiles, a soil-health score and a consolidated per-plot diagnosis.
Fertilisation plans in three variants, doses computed from crop demand, and cost taken from your own inputs or the catalogue.
Three suitability dimensions per plot, plus rotations, so you choose what to sow for the soil you actually have.
Zone-based VRA: the variability you see on the map becomes a different rate per zone.
Open methodology: every index, band and threshold is explained — including what satellite cannot do on small plots.
Precision tools create value when satellite data, sampling, diagnosis and execution stay connected to operations.
The module groups viewer, monitoring, vegetation reports, scouting, sampling and plans so teams know where to look first.
The viewer helps inspect indexes and layers by lot before turning variability into field work.
Samples, labs and profiles stay recorded so each management zone has a technical history.
Recommendations can move into demand, nutrients and costs so the decision is reviewable before execution.
The analysis comes back to the lot: NDVI, suitability, diagnosis and plans remain tied to the same place.
Segesio does not turn a map color into an automatic prescription. The expected method is to observe, compare, diagnose and only then execute with traceability.
NDVI, scouting and monitoring help identify real differences inside the lot.
Sampling and history prevent decisions based on a single image.
Fertilization plans or prescriptions should make assumptions, costs and technical sources visible.
Activities, inputs and reports close the loop so the team can see whether the decision created value.
The screens used on this page come from the help pipeline and do not include real customer data.
Review satellite images and indexes to understand which zones deserve attention.
Create scouting visits or sampling where the map shows variability.
Turn the diagnosis into a fertilization plan or prescription.
Connect the recommendation with work, inputs and reports so results can be reviewed.
Go through pricing, activate Pro for 14 days and validate whether the first module you need makes the operation clearer.
See pricing and Pro trial