Integrating Multispectral Data with Farm Management Software: A Practical Guide
Introduction
Modern farming is becoming more data-driven every year. With the rise of drone-based multispectral imagery, farmers can now see their crops in a completely new light. But collecting imagery is only half the story — the real value comes when this data is integrated into farm management software (FMS). By combining spatial insights with operational tools, farmers can make smarter, faster decisions that directly improve productivity and profitability.
Why Integration Matters
Multispectral imagery provides detailed maps of crop health, soil conditions, and irrigation efficiency. Farm management software allows you to track planting schedules, chemical applications, and yields. Together, they create a powerful feedback loop: monitor → plan → act → evaluate.
Without integration, imagery might sit in isolation as pretty maps. With integration, it becomes an actionable tool for daily decision-making.
Data Types and Formats
Most drone-derived multispectral imagery is delivered in formats like:
GeoTIFF — high-resolution raster files with geospatial reference
Shapefiles / GeoJSON — vector data for drawing management zones
Indices like NDVI (Normalized Difference Vegetation Index) or NDRE (Normalized Difference Red Edge)
These can be imported into many FMS platforms for overlay, analysis, and prescription mapping.
Farm Management Systems (FMS) That Work with Imagery
Common platforms include:
AgWorld — widely used across Australia for planning and chemical recordkeeping
AgLeader SMS — strong GIS tools for variable-rate applications
Trimble Ag Software — integrates precision ag hardware and mapping
FarmLogs — cloud-based solution for smaller to medium operations
Each platform has slightly different workflows, but all can benefit from having drone imagery layered onto operational maps.
Practical Use Cases
1. Variable Rate Fertiliser Application
NDVI maps highlight nutrient-deficient areas. By generating prescription zones, farmers can apply fertiliser only where it’s needed, saving money and reducing environmental impact.
2. Targeted Irrigation
NIR and red-edge bands reveal areas under water stress. Farmers can adjust irrigation schedules or identify malfunctioning equipment quickly.
3. Pest and Disease Hotspot Identification
Imagery shows stressed plants before symptoms are visible to the naked eye. Farmers can spot-treat rather than blanket-spray, cutting chemical costs.
4. Long-Term Yield Forecasting
When imagery is integrated into yield models within farm management systems, it helps with forward planning, market forecasting, and supply chain coordination.
Best Practices for Integration
Check Coordinate Systems: Ensure imagery is aligned with your farm’s base maps (e.g., GDA94 / GDA2020 in Australia).
Use Consistent Flight Plans: Regular drone surveys (weekly or monthly) create comparable datasets.
Mind the Resolution: Don’t overload your FMS with ultra-high resolution if not needed — sometimes 10–20 cm/pixel is sufficient.
Collaborate with Agronomists: Data is powerful, but expert interpretation maximises its value.
How VGSS Supports Farmers
At VGSS, we don’t just fly drones — we help farmers turn imagery into action. Our services include:
Multispectral flights tailored to your crop cycle
NDVI/NDRE mapping delivered in FMS-compatible formats
Advice on integrating maps with systems like AgWorld or Trimble
Ongoing support for interpreting data and adjusting management strategies
Whether you’re a vineyard in Geelong or a broadacre farm in western Victoria, our goal is simple: help you farm smarter.
Key Takeaways
Multispectral imagery is most valuable when integrated into farm management software.
Popular FMS platforms support GeoTIFFs, shapefiles, and NDVI/NDRE indices.
Applications include precision inputs, irrigation management, and yield forecasting.
VGSS delivers end-to-end solutions: from drone data capture to system integration.