Precision agriculture
Drone and sensor data turned into decisions you can make this week.
See the whole field, not just the edge you walk
A drone sees patterns that are invisible from the ground: uneven emergence, nutrient stripes, waterlogged corners, early pest damage. We turn those patterns into maps your team can act on.
- Vegetation index (NDVI and similar) crop health maps
- Plant and tree counting, stand and gap analysis
- Orthomosaics, elevation models and drainage mapping
- Field boundaries, area measurement and crop zoning
- Repeat flights to track growth week by week
What you receive
Deliverables are provided as files your team can open in common GIS and farm software, plus a summary in plain language.
Orthophoto maps
Georeferenced, stitched imagery of each field.
Elevation models (DEM and DSM)
Terrain and surface height for drainage, slope and levelling.
Crop health and stress maps
Multispectral indices with zones ranked by need.
Change detection
Compare dates to see growth, loss, flooding or land-cover change.
Yield estimation inputs
Plant counts and canopy data for forecasting.
Consultancy and training
Project design, drone workflow set-up and team training.
Why precision farming matters in Pakistan
Only part of the country's land is farmed, and much of that is farmed below its potential. Measured inputs and early problem detection raise output without opening new land. Figures are in million hectares, from Punjab Agriculture Department land-use statistics.
Agriculture supports roughly a quarter of Pakistan's economy. Variable-rate fertiliser, variable-rate irrigation and NDVI monitoring cut input costs and chemical waste at the same time.
Sensors we fly
Our multispectral payload records five bands together with high-resolution RGB, so one flight produces both vegetation indices and a clear photo map.
- Blue, green, red, red edge and near-infrared bands
- NDVI and NDRE from the same flight
- 12 MP stills and 4K video
- Works on cloudy days when satellites cannot see the field
In development
- Ground robots (UGV) for soil nutrient and soil-moisture detection
- Crop health reporting from a ground vehicle
- Seed sowing and fertiliser application by UGV
Smart-farm monitoring
Drone maps are most useful when combined with ground data.
Soil moisture and weather
Sensors report moisture, temperature and rainfall so irrigation follows need, not habit.
Irrigation planning
Find over-watered and dry zones, then adjust schedules and layouts.
Pest and disease scouting
Flag suspect areas from the air and send scouts straight to them.
Yield estimation
Combine plant counts and canopy data for earlier, better forecasts.
Dashboards and reports
Maps, charts and plain-language recommendations in one place.
Training
We teach farm teams to read maps and run basic drone workflows.
Drone applications in agriculture
Drones are used across many crop types and farm tasks. Typical uses include: