Remote embedded GIS analysts who work inside your agronomy platform, on your imagery and machinery data. Precision agriculture mapping, NDVI crop health analytics, and geospatial solutions for precision farming delivered without field work, from raw imagery to production-ready layers.
To placement
Below in-house cost
Time saved with JOT tools
Industry challenges
The geospatial bottlenecks that slow precision farming programs and delay agronomic decisions.
Field boundaries digitized inconsistently across seasons, leaving no single georeferenced source of truth for planning or reporting.
Multispectral captures pile up unprocessed across growing seasons, delaying NDVI analysis and crop stress detection.
Vegetation index data collected without a consistent processing pipeline, making season-over-season comparison unreliable.
Yield, planting, and application data locked in incompatible tractor terminal formats across equipment brands and seasons.
4–6 month hiring cycles for GIS analysts with agtech or remote sensing experience.
GIS data conversion between farm management systems during platform upgrades or acquisition integration creates extended data freeze periods.
What we deliver
Embedded analysts working in your platform, on your imagery and machinery data — no field work on our side.
Primary service
Our engineers convert satellite imagery, drone orthomosaics, and GPS logs into clean, attributed field boundary polygons, plus vegetation index maps for crop health monitoring. Covers geometry, topology, coordinate alignment, and NDVI/EVI generation for precision agriculture mapping across every growing season.
→ Field boundary digitization from satellite, drone, and legacy paper records
→ NDVI, EVI, and other vegetation index maps from multispectral imagery
→ Orthomosaic generation and season-over-season change detection
→ QGIS, ArcGIS Pro, or your agronomy platform of choice
OUTPUT FORMATS
· Shapefile / GeoJSON
· GeoTIFF (raster / NDVI)
· KML / KMZ
· File GDB / PostGIS
STANDARDS
LAND & ASSET MANAGEMENT
Spatial asset registers built from existing farm data — soil sample results, yield monitor exports, and irrigation as-builts. No additional field campaign required. When soil, yield, and irrigation infrastructure are spatially referenced and attributed, input planning becomes data-driven rather than uniform across a field.
→ Soil mapping: texture, pH, organic matter, nutrient zones
→ Yield monitor integration: combine harvester data joined to field polygons
→ Irrigation network spatial registers: pivots, drip lines, valve locations
→ Variable-rate application zones for seed, fertilizer, and crop protection
ASSET TYPES
· Soil sample points & zones
· Irrigation pivots & drip lines
· Yield monitor point clouds
· Weather station locations
PLATFORMS
ENTERPRISE DATA MIGRATION
Agricultural mapping services depend on clean data moving between systems. We convert between tractor terminal formats like ISO-XML, Shapefile, and KML, and cloud GIS databases — so machinery data, agronomy platforms, and enterprise GIS stay synchronized during upgrades, fleet changes, or platform consolidation.
→ ISO-XML task data conversion across equipment brands and models
→ Coordinate system transformation and attribute schema alignment
→ Bulk migration from legacy farm management software to cloud GIS
→ Ongoing data pipeline maintenance between machinery and agronomy platforms
SUPPORTED SYSTEMS
· SO-XML / ISOBUS terminals
· Shapefile / KML / GeoJSON
· Cloud GIS databases
· PostGIS / Enterprise GDB
COMPLIANCE
Why GIS JOT
Our model fits one constraint: precision farming GIS work cannot wait for a 6-month hiring cycle.
Structured matching against your platform and sector. Productive from week one, no recruitment overhead.
Remote embedded analysts consistently cost less than equivalent hires — with no reduction in output quality.
JOT Complex Plugin automates bulk attribute management and boundary processing — up to 50% faster on field digitization.
Every analyst placed has verified experience in agricultural GIS or remote sensing — not generalist mapping backgrounds.
One analyst for a growing season or a multi-analyst team for a platform migration. The engagement scales to the work, not the other way round.
One month before any long-term commitment. Replace at no extra cost if the match is not right in skills or toolset.
Analysts familiar with multiple national land registries, coordinate systems, and regional agricultural standards.
Analysts operate under NDAs, use your access controls, and never transfer farm data outside your specified environment.
THE DATA DIFFERENCE
The gap compounds across every planting decision, input cost, and yield outcome.
| Disconnected legacy data | Integrated agricultural GIS | |
|---|---|---|
| Field boundary records | ✕ Inconsistent digitization, no single spatial source of truth | ✓ Complete georeferenced field polygons, queryable by season and crop |
| Crop health monitoring | ✕ Manual imagery review; stress detected too late | ✓ Automated NDVI/EVI processing flags stress zones within days of capture |
| Machinery data integration | ✕ ISO-XML files trapped in per-brand terminal formats | ✓ Unified spatial layers joining yield, planting, and application data |
| Input planning | ✕ Uniform application rates across whole fields | ✓ Variable-rate zones driven by soil, yield, and vegetation index data |
| Land registry & compliance | ✕ Manual data prep per submission; schema rework cycles | ✓ Compliant exports on demand; audit-ready attribute completeness reporting |
| GIS team cost & speed | ✕ 4–6 month hire; high total employment cost | ✓ Analyst placed in 1–2 weeks, 30–40% lower cost, scalable |
Common questions
Ready to start
Tell us your platform, your backlog, and your target output. We match you with an engineer who has done exactly this work — inside your tools within 1–2 weeks.
Response within 48 hours · EU, UK, Middle East, North America · Risk-free trial month