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Drone Multispectral Β· Sample Deliverable

VEGETATION HEALTH, FROM ONE FLIGHT

A drone with a multispectral camera sees plant stress the eye can't. One pass over this maize research field becomes a health map of every plot β€” processed end-to-end on Northline-controlled infrastructure in North America.

Hover the field

The whole field, graded

Green = thriving canopy. Yellow/red = weak or bare. Hover any point for its value; drag the divider in 3-week change to see the crop establish.

bare / stressedthriving

Weak-canopy finder

Flags weak canopy on the Vigour map.

Field imagedβ€”
Canopy coverβ€”
Canopy flagged weakβ€”

Area box

In Area box mode, drag a rectangle around any plot for its own numbers.

Switch to Area box and drag on the field.

Season, tracked

Sampled plot tiles across four flights.

Whole field, May 25 β†’ Jun 15β€”

PLOT-LEVEL DETAIL

Zoomed to individual plots: the same maps at leaf scale. The photo shows green; the maps show which green is healthy.

HOW IT WORKS

01Fly

Your site is captured in a single multispectral drone pass β€” ours, or a vetted local pilot flying to our spec.

02Process

Imagery is processed into calibrated health maps on Northline-controlled infrastructure in North America β€” never handed to a third-party scanning service.

03Review

Maps arrive in your Northline portal with expert analysis β€” measurable evidence behind every recommendation.

These detections come from our own first-generation model, not the dataset's labels. It is strong on crop rows and still learning weeds β€” where the expert labels carry 70–235 weeds, it finds a handful β€” so no weed-pressure call is drawn from these counts; a grower's decision needs the next model and an agronomist. Health maps are scan-derived evidence to support expert review β€” not a laboratory measurement. Sample imagery: WeedsGalore research dataset, Γ‡elikkan et al. (GFZ), CC-BY-4.0 β€” shown to demonstrate processing. Β© Northline Readiness.