01 Capability

Farming by the
numbers.

We fly the field, then hand back the decision. Autonomous multispectral capture, photogrammetric processing and per-field prescriptions, from raw canopy to what to do next.

The workflow

Imagery is the input.
Decisions are the output.

Aerial data is only useful when it changes what happens on the ground. Every Altax agriculture flight runs the same disciplined pipeline of capture, process and decide, so the deliverable is a prescription, not a folder of pictures.

01
Capture

An autonomous multispectral mission flies the block at a fixed altitude and overlap, staying repeatable, hands-off and identical every pass so the data compares cleanly across the season.
02
Process

Frames are stitched into a centimetre-grade orthomosaic through photogrammetry, then run through vegetation-index and detection analytics to surface what matters.
03
Decide

Results collapse into per-field prescriptions: zones, counts and priorities you can push straight to the sprayer, the scout or the irrigation controller.

What we map

Six questions,
answered from the air.

Irrigation Optimization

Thermal and index maps expose where water pools and where it never reaches, so you rebalance zones before stress shows up in yield.

Nutrient Monitoring

NDVI and red-edge signatures flag nitrogen deficiency weeks ahead of the eye, turning blanket application into variable-rate prescriptions.

Pest & Disease Detection

Early anomaly clusters in the canopy are isolated and geotagged, letting scouts walk straight to the outbreak instead of the whole block.

Canopy Analysis

Per-plant vigour, leaf area and cover fraction, reconstructed from multispectral orthomosaics at centimetre resolution.

Field Uniformity Assessment

One index for the whole field: where the stand is even, where it thins, and how that trend moves flight to flight across the season.

Livestock Monitoring

Automated aerial counts and location of herds across open range, without the mustering, the fuel or the disturbance to the animals.

Multispectral · NDVI

See what the
eye can't.

A healthy plant reflects near-infrared light long before its colour shifts to green. Six calibrated spectral bands let us read chlorophyll activity directly, mapping vigour, stress and canopy density plant by plant across the whole field.

BLUE
GREEN
RED
RED-EDGE
NIR
RGB

NDVI multispectral crop-health heatmap overlaid on an aerial orthophoto, green through red indicating vigour — FIG.01 · NDVI / CROP VIGOUR

Full-field NDVI orthophoto showing the vegetation index across the block — ORTHO · FULL FIELD

Multispectral field analysis frame, band composite — BAND · 01

Automated plant-count output: dense red detection markers over a field, 4,963 plants counted from a single flight — FIG.02 · DETECTION OVERLAY / 4,963 PLANTS

Automated counting

We don't hand you
photos. We hand
you the count.

Stand counts done by hand are slow, sampled and out of date by the time they're tallied. We count every plant from a single automated pass (gaps, doubles and true stand included) and return it as an inventory, not an estimate.

DETECTED4,963

MODEAutomated

PASSSingle

Companion detection analysis frame highlighting gaps and error cases in the automated count — FIG.03 · GAP / ERROR ANALYSIS

Field study

Delftland F30,
mapped by drone.

A single greenhouse-adjacent block flown, reconstructed into a centimetre-grade orthomosaic, and counted crop by crop directly from the mosaic. Every figure below was measured from the aerial dataset.