Your starting point
Field boundary, sampling density and plan identifier.
GEOFARM PRO / CONNECTED TOOLS
Define the boundary, method, density and grid geometry. Generate identified points and export the plan to guide collection and later match laboratory results.

Field boundary, sampling density and plan identifier.
Standardize point distribution and sample traceability.
Georeferenced sampling plan with point identifiers.
INSIDE THE TOOL
From data preparation to final delivery, explore the controls that bring precision to planning and connect every stage of your work.
Enter how many hectares each point represents. Compare spatial density with sample count and budget.
Choose regular spacing or cell dimensions. The grid organizes sampling distribution according to your strategy.
Rotate the grid to follow a field reference. Use the field axis or a direction defined on the map.
Compare centered cells and alternating placement to adapt the layout to different field shapes.
Set boundary setback and maximum point count. These controls help reconcile distribution and sampling logistics.
Identify points and save the plan associated with the field. The field file guides collection and later laboratory matching.

APPLICATION SCENARIO
To prepare a sampling campaign, the team compares point count with the laboratory budget. Rotation, edge setback and grid positioning help organize field execution.
PRECISION YOU CAN MEASURE
Plan georeferenced points, take the route to the field and use results to build spatial recommendations.
Compares one sampling campaign and one application. Sampling density does not automatically determine rate reduction. Enter the average recommended rate after agronomic interpretation. Sampling and laboratory costs are separate from technology cost.
ECONOMIC COMPARISON
Enable JavaScript to calculate this scenario.
Editable example per campaign or project. Enter local costs and the share of software, correction signal, equipment and services used in this scenario. Results are estimated from inputs; defaults are not research averages. Do not add benefits from studios representing the same operation.
Samples = ceil(area ÷ ha/sample). Each scenario cost = area × average rate × price + samples × cost per sample. Subtract technology from gross benefit.
Net benefit = conventional cost − precision cost, including technology. Net return on technology = net benefit ÷ allocated technology cost × 100; displayed only when this cost is greater than zero. Only described components are compared, not the full crop budget.
Explore scenarios, track the effect of each input and export the comparison to discuss with your team.
References support the agronomic mechanisms. Example values are editable assumptions, not percentages attributed to the studies.
ONLINE AND DESKTOP · WINDOWS AND macOS
From a connected environment to planning with local files: choose the work profile that suits your team and operation.
Access the platform in your browser and connect information, analysis and deliverables in one workspace.
Organize files and projects on your computer, prepare basemaps and bring planning into your field routine.
For teams that center technical work on Windows workstations and value organized files, equipment and projects.
Talk to our team to define the right configuration for your online or offline operation.
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