DroneDash technology
From field imagery to decisions farmers can act on.
DroneDash builds technology to observe crops, locate what needs attention and support practical field decisions. Our system direction brings together an affordable multispectral camera, AI Vision with geospatial context and AgriSense 2.0 field intelligence.
In-house four-band imaging
See more of the farm, more often.
Our in-house four-band camera captures Red, Green, Red Edge and near-infrared imagery to reveal crop conditions that ordinary colour images may miss. The weatherproof camera can be mounted on a drone for aerial coverage, an autonomous ground vehicle for close-range observation, or a high pole for repeated monitoring of a fixed area.
Its affordable design makes wider deployment across a farm practical, so growers can collect observations throughout the season rather than relying on occasional surveys.
Value Multispectral imagery and vegetation indices that help identify areas requiring closer attention.
AI Vision
Find the target. Know where it is.
DroneDash built See n Locate using a dataset of more than six million data points, including AI training data and digitised trees across different ages and conditions. The system identifies multiple targets in field imagery and presents them alongside relevant geospatial information, so operators can review what was detected and where action may be needed.
In a plantation, this supports individual tree inspection and selective treatment. The same approach can be adapted to other crops and field tasks where both the target and its location matter.
Value Target detection, visual evidence and geospatial context for field decisions.
AgriSense 2.0
Bring each field visit into context.
AgriSense 2.0 is being shaped to bring crop observations and recurring field records into one review workflow. Plantation managers, agronomists and field teams can use the available evidence to identify where closer inspection is needed, prepare approved actions and compare what changes across visits.
Predictive alerts, yield forecasting, sensor integrations and persistent tree histories remain development capabilities requiring implementation and field validation.
Intended value Clearer review, human-approved action planning and continuing field context.
Explore AgriSense 2.0
Emerging capability
Understand the soil’s elemental composition.
DroneDash is exploring Laser-Induced Breakdown Spectroscopy (LIBS) to bring elemental sensing into agricultural field assessment.
LIBS directs a short laser pulse onto a small spot on a sample, creating a tiny plasma. The light emitted reveals signatures of the elements present. With suitable calibration, this can help assess selected nutrient-related elements and variations in soil composition.
Our development direction is to connect these measurements with geospatial information and AgriSense 2.0. This would allow farmers to review soil composition alongside crop imagery, soil-sensor readings and weather data when planning sampling and fertiliser application.
Intended value More detailed soil information to support targeted assessment and nutrient management.
Development focus Field sampling, calibration against laboratory results, and integration with DroneDash’s sensing and analysis platform.
Integrated workflow
One connected system
- Capture
- Locate
- Analyse
- Act
- Learn
The camera captures crop conditions. See n Locate identifies targets and adds geospatial context. AgriSense 2.0 combines those observations with sensor and operating data to guide decisions and build a continuing field history.