Agricultural Services

In agriculture, it’s all about understanding what’s happening in the field, in order to increase yield and improve efficiency. Aerial mapping gives growers and agronomists detailed insights about crops that would not be noticeable on foot or by traditional land-based methods.

Data collected can be analysed and integrated into modern agricultural software, create zonal areas and prescribe specific data that can be used in GPS guided machinery.

Crop scouting

Using a SUA is a much quicker, simpler way of scouting crops to find irregularities and issues, so that you can reduce variability and solve problems faster.

Soil mapping

Identify crop variation and damage across an entire field in a matter of hours.

Irrigation optimisation

SUA imagery helps identify irregularities in irrigation based on vegetative cover and other indicators that you can only see from overhead, so you can make adjustments and achieve irrigation uniformity.

Drainage repair

Fix drainage issues so that water is consistent across the crop.

Yield optimisation

Make the right crop adjustments faster with instant data and detailed mapping.

Yield projections

Make accurate projections based on detailed, high-resolution mapping.

Nitrogen application

More easily see nitrogen deficiencies in your crops.

Emergence/Stand count

Determine if you need to replant in any areas.

Equipment malfunction detection

Catch equipment issues that result in uneven seeding, pesticides distribution or replanting or gaps in plants.

Pest issues

Determine if any areas are having pest issues, and assess the effectiveness of pest control strategies.

How it works?

From initial enquiry we will discuss your individual needs and requirements and ensure that we customise the job specifically for you or your company.

What is an SUA?

We operate in the SUA range of
aircraft, such as the DJI Phantom 4 Pro,
DJI Matrice M600 and senseFly Albris

get in touch

Contact us to find out more about how we can potentially save you time and money on your project