Edge hardware
A rugged field unit built around an NVIDIA Jetson single-board computer, camera and environmental sensing, designed to save power.
- NVIDIA Jetson SBC
- Camera capture
- Humidity & temperature
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CASE STUDY · AI & VISION
AI Plant Growth Tracking
A computer-vision system running on NVIDIA Jetson at the edge, measuring plant growth in the field and catching problems before the eye can see them.
01 / Overview
SECTOR
Agriculture research
OUR ROLE
Hardware · AI · Web
COMPUTE
NVIDIA Jetson (edge)
STATUS
Deployed with client
An agricultural research institute needed to track and analyse plant growth accurately to optimise crop yields and resource use, work that manual observation could not do at scale.
We built an AI vision system that monitors plant development in real time, optimised to run directly on NVIDIA Jetson so all the heavy computing happens in the field, not in the cloud.
The system captures detailed growth metrics, flags issues before they become visible to the human eye, and turns the readings into actionable guidance for cultivation.
02 / How we built it
From brief to field.
01
Project initiation
Defined the growth-tracking objectives with the client's research team.
02
Model training
Developed and trained a vision model to analyse plant growth patterns.
03
Edge deployment
Optimised the model to run efficiently on NVIDIA Jetson hardware in the field.
04
Web interface
Built a web dashboard to visualise the collected data and growth metrics.
03 / Key components
What’s inside.
AI model
A custom vision model, optimised to run on the Jetson, that detects plants, estimates size and corrects for error.
- Object detection
- Size estimation
- Error correction
Data visualisation
A clean web interface for reviewing collected data, imagery and trends across multiple crops.
- Graphs & KPIs
- Captured imagery
- Multi-crop management
04 / Results
Edge AI turned slow manual observation into continuous, predictive crop insight.
Early
DISEASE DETECTION
Accurate
GROWTH PREDICTION
Data-led
CULTIVATION DECISIONS
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