GEOGRAPHIC INTELLIGENCE. FIELD PRECISION.
Connect maps, machines and agronomic knowledge. From the first file to a planned operation, discover a new way to understand every hectare.
01 / CONNECTED VIEW
Variability exists. What changes is your ability to understand it. Bring field information together, find patterns and turn analysis into a project you can review and deliver.
ONE FIELD. DIFFERENT PERSPECTIVES.
Explore the layers and see how each one answers a different management question.
02 / YOUR COMPLETE TOOLKIT
Explore what each feature does, why to use it and what it delivers. From collection to the terminal, choose where your work begins.
Every pass starts with a better plan.
Design AB, curved, pivot and multiswath guidance from the field boundary. Adjust heading, working width, headlands and turning geometry to the machine and implement. Review the layout before export.
Organize passes to help reduce overlaps and unnecessary turns.
Guidance project and report for review and export.
A rate for every part of the field.
Turn soil attributes, zones and indices into spatial recommendations. Configure the agronomic method, parameters, commercial product concentration, rate limits, classes and rounding. Review the map before sending it to the terminal.
Target inputs according to variability, with explicit technical criteria.
Zone rate map; recommendations require agronomic validation.
Understand the terrain before moving soil.
Interpolate elevation points to study terrain, contours and terraces. Plan leveling, cut/fill, rice levees and water paths with adjustable project parameters.
Plan interventions and assess earthwork based on survey data.
Terrain surface and design layers; accuracy depends on the input survey.
See the harvest in detail.
Select yield and moisture attributes, remove outliers and apply moisture correction. Configure interpolation, classes and legends to interpret within-field variability.
Separate sensor noise from yield differences before making decisions.
Processed yield map for analysis and comparison.
See variability beyond the visible.
Map spectral bands already available in source attributes and calculate NDVI, NDRE, SAVI and GNDVI. Classify vigor, potential gaps and infestation and compare dates to guide field scouting.
Prioritize investigation in areas that need attention.
Index and temporal change maps; indices require the appropriate bands.
From flight to a first field assessment.
Import geotagged photos and PPK support files. Inspect flight paths, footprints, GSD, overlap and quality; create a quick mosaic, RGB indices, count estimates, rows and flight plans.
Validate survey coverage and turn imagery into scouting targets.
Flight layers and exploratory analysis. Quicklook does not replace photogrammetric orthorectification.
Give laboratory results a place on the map.
Associate laboratory results with sampling points, select the attribute and tune interpolation. Visualize nutrient distribution and use quick liming and fertilization recommendations as technical support.
Connect chemical analysis with spatial field variability.
Fertility maps and prescription inputs, subject to technical review.
Better sampling starts with a better plan.
Define the boundary, method, density and grid geometry. Generate identified points and export the plan to guide collection and later match laboratory results.
Standardize point distribution and sample traceability.
Georeferenced sampling plan with point identifiers.
Different layers. One management view.
Combine criteria from different layers, define classification and zone count, and tune interpolation. Use the result to distinguish environments and inform sampling and prescription decisions.
Group areas with similar behavior to plan interventions.
Management-zone map linked to its field.
Plan water management around the terrain.
Use elevation points or water-related attributes to classify excess and deficit zones. Configure flow or distribution lines, interpolation and visualization to study water management.
Locate critical areas and organize drainage or irrigation planning.
Planning maps and lines; these do not represent valve automation.
Plan planting around wheel tracks.
Configure sprayer, track width, tires and planter. Simulate wheel tracks and row shutoff to coordinate passes and assess planting against subsequent field traffic.
Anticipate conflicts between plant positions and machine traffic.
Traffic and planting plan; outcomes depend on execution and equipment.
Every plant in its planned position.
Configure layouts, spacing, orientation and variable density by zone. Generate planting points and inter-row guidance; use georeferenced aerial imagery to support recognition of existing rows.
Match planting layout to the field and machine movement.
Exportable planting points and guidance lines.
The foundation for every project.
Import, draw or reuse boundaries, organize references and save the field limit. Use the same geometry across studios to clip analyses and keep projects consistent.
Avoid redefining the area for every analysis and keep a shared reference.
Georeferenced boundary associated with the farm structure.
Your data with location and context.
Organize growers, farms, fields and seasons in a farm hierarchy. Link maps and datasets to their corresponding area to retrieve projects and track work history.
Keep context while working across properties and clients.
Organized record of areas, seasons and related maps.
Different files. One organized workflow.
Upload geographic data and agricultural packages through the wizard, inspect the recognized structure, preview it and associate it with a field. Manufacturer profiles depend on format and available support.
Reduce manual steps in preparing and organizing incoming data.
Datasets ready for inspection, analysis and conversion according to format.
Maps and numbers tell the same story.
Explore map layers, inspect tabular attributes and adjust legends and colors. Review metadata, farm associations and compatibility before using a dataset in another studio or exporting it.
Inspect source information before transforming data.
Reviewed dataset with visual representation and technical context.
Planning matched to your equipment.
Register machine and implement combinations with working dimensions. Reuse parameters across studios to align width, offsets and turning geometry with planning.
Avoid repeated setup and assess plans using actual equipment parameters.
Configured equipment combination for field projects.
From project to destination format.
Select dataset, format and destination profile. Review options and validation before downloading GIS files, tables, ISO-XML and available specific packages. Compatibility must be checked by model and content.
Prepare deliverables against the technical requirements of the destination.
File validated against its profile; proprietary formats may require an SDK or integration.
Know what the destination requires.
Consult and organize equipment, format and profile information. Use the compatibility matrix to distinguish available, partial or integration-dependent support and guide delivery.
Identify restrictions before transferring files to a terminal.
Technical reference for format and profile selection.
Knowledge that supports your operation.
Access technical chapters by feature and open tickets with context, priority, files and a problem description. Follow progress and replies to preserve request history.
Make issues easier to reproduce and tools easier to use consistently.
Usage documentation and support request history.
What was done, layer by layer.
Inspect planting, fertilization, spraying and harvesting data. Identify attributes and units, review readings and visualize the spatial distribution of machine-recorded measurements.
Review spatial execution and investigate inconsistencies in records.
Operation layers for inspection and analysis; dependent on imported data.
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Illustrative schematic maps created to explain the tools. They are not app screenshots or results from a real property.
03 / FROM FILE TO OPERATION
Start with the data you already have. Connect tools according to your project needs and keep the field as a shared reference.
Import files, inspect attributes and link them to grower, farm, field and season.
Combine soil, imagery, yield and terrain to investigate within-field differences.
Generate zones, prescriptions, guidance and projects with reviewable technical parameters.
Select the destination, check compatibility and export your work.
04 / TECHNOLOGY WITH PURPOSE
Agronomic expertise remains yours. GeoFarm Pro helps organize evidence, visualize possibilities and prepare the next action.
Structure projects, review parameters and standardize deliverables across clients.
Connect fields, seasons and operations for an organized view of your farm.
Match projects to equipment and check the requirements of each destination format.
05 / INTEROPERABILITY
Open formats for sharing. Specific profiles for preparing operations. Always check the terminal model, version and supported data type.
Maps, geometries and attributes for exchange with geographic tools.
Tables and technical formats for analysis and further project work.
Packages according to available profiles and equipment requirements.
Transparent compatibility: support may be full, partial or depend on integrations, SDKs and credentials. Profile validation guides delivery; it does not imply universal support for every brand and version.
06 / FREQUENTLY ASKED QUESTIONS
No. Start with your objective: review a map, plan guidance, analyze soil or prepare an export. Field-organized data can be reused in other studios.
Yes, according to supported formats and profiles. Check the compatibility matrix for your terminal, version and content. Proprietary formats may require additional resources.
No. NDVI requires near infrared (NIR) and red bands. The drone studio also uses RGB indices for exploratory vigor analysis; these are not equivalent to multispectral NDVI.
Quicklook supports rapid inspection and assumes conditions such as approximately flat terrain and a nadir camera. Projects requiring orthorectification and survey accuracy need appropriate processing and validation.
They are demonstration illustrations. Field images were generated with AI. App results depend on input data, settings and technical validation.
Open the app or contact a specialist using the link on this page. Bring information about your crops, file formats, equipment and project goals.
THE NEXT STEP STARTS WITH A BETTER VIEW.