To support an agricultural field trial York, WA, we were engaged to capture ultra-detailed aerial imagery of canola plots across a 1-hectare site. The aim? To help researchers calculate germination rates by counting emerged plants per plot, a critical measure of early crop success.
The captured imagery fed into a multi-step pipeline:
The researchers needed imagery with a 1mm spatial resolution from 12 metres altitude.
That’s not your everyday mapping job; hitting this resolution meant:
We deployed to cameras to compare outcomes:
Each camera flew at customised altitudes and speeds to meet resolution targets while covering the site efficiently.
The Phase One camera delivered incredible clarity. Every tiny plant, texture, and shadow was clearly captured. That made downstream steps like cropping and ML processing far more accurate and reliable.
Compared to the DJI P1, the iXM provided:
This wasn’t just about testing drone tech—it was about enabling smarter agricultural research.
Our ultra-high-res imagery helped researchers automate plant counting with greater precision. That means:
By delivering visual data that meets AI standards, we’re helping streamline field trials and unlock new potential in digital agriculture.
Upon reviewing the initial results, the client provided positive feedback on the image quality.
“The clarity from the iXM was next level—miles ahead of the P1. This is going to massively improve our ability to automate plant counting.”
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