Precision agriculture

Precision agriculture with 3D scanning and point clouds

3D scanning and point clouds to improve farm efficiency: from crops and pastures to livestock facilities.

We generate objective data on crop condition, terrain, livestock and infrastructure for controlled resource management.

Field accuracy: down to 2 cm Facility accuracy: down to 5 mm Processing: 1–2 days per 100 ha NDVI/NDRE: vegetation and stress maps
Agriculture and 3D analytics

What the farm gets

Crops

Assessment of plant density, height, canopy density and health; locating moisture and nutrient deficit zones.

Pastures

Biomass calculation, identification of depleted areas, grazing rotation planning.

Herd

Animal counts, condition and activity control, movement monitoring.

Planning

Optimization of machinery routes, calculation of seed, fertilizer and pesticide volumes.

Terrain and soils

DSM for irrigation, land reclamation, drainage and erosion prevention.

Risks

Early detection of disease, pests, drought and waterlogging.

Forecasting

Yield forecasting from growth dynamics and vegetation indices.

Reporting

A digital base for subsidies, insurance payouts, certification and environmental audits.

Technologies and equipment

  • UAV with LiDAR and RGB cameras for area coverage of fields and pastures.
  • Terrestrial mobile scanners for greenhouses, farms and warehouse infrastructure.
  • Multispectral cameras (e.g. MicaSense) for NDVI/NDRE analytics.
  • Thermal sensors for soil, microclimate and livestock monitoring.
  • Ground-penetrating radar for soil structure and groundwater level assessment.
  • AI segmentation of problem zones without manual labeling.

Integrations

  • GIS: QGIS, ArcGIS.
  • Precision agriculture systems: John Deere Operations Center, Trimble Ag.
  • ERP for accounting and reporting.
  • SCADA/CMMS for irrigation and resource application automation.

Operational implementation cycle

Work is organized seasonally and iteratively: you get not a one-off report, but a managed data-driven decision loop.

1. Planning

Survey plan accounting for crops, terrain, agronomy and livestock tasks.

2. Data capture

Aerial and terrestrial scanning, synchronization with weather and soil data.

3. Post-processing

Point cloud stitching, DSM generation and vegetation maps.

4. Analytics

Biomass and health index calculation, stress zone detection.

5. Action plan

Yield forecast and generation of prescription maps for machinery.

6. Result handover

Archiving results for multi-season analysis and insurance cases.

Delivery formats

  • .e57 .las — point clouds.
  • .tiff .shp .pdf — maps and reports.
  • .fbx .obj .glTF — 3D visualization.

Standards and effects

  • GOST R 59562-2021, ISO 19115.
  • Manual monitoring costs reduced by 3–4×.
  • Yield growth through targeted resource application.
  • Lower livestock losses and insurance-event risks.