Vertical
Smart Farming
Yield forecasting, automated monitoring, and decision support for commercial cultivation — running on-premise, without cloud dependency.
The challenge
Commercial cultivation facilities are data-rich — yield records, environmental telemetry, fertigation logs — but this data is rarely unified or modelled. When a new cultivar enters production, operators spend months fighting their way through trial and error.
The gap is not sensors or data. It's predictive models that turn multi-environment feed data into crop-level forecasts — with calibrated uncertainty that tells growers how much to trust a prediction.
Our approach
- ▲ Agentic monitoring. Hybrid technologies, including computer vision for pest/pathogen detection, and AI energy management & Agentic systems for climate/lighting/irrigation control.
- ▲ Edge-first architecture. Every model runs on a single compute unit inside your facility. Your crop data, production logs, and cultivar-specific parameters never leave your site — no cloud dependency, no IP exposure.
- ▲ Uncertainty-aware forecasts. Every prediction comes with a confidence estimate. Growers know which outputs to act on immediately and which need more observations — reducing costly decisions made on uncertain inputs.
In practice
Edge AI Deployment for Cultivar Optimisation
Technical advisor to a commercial cultivation operation on the architecture and deployment of on-premise AI for yield and chemistry prediction. PRAESC is defining the edge deployment model — a single compute box per facility, no cloud dependency, no data leaving the site — and guide the integration of predictive models into the grower's decision workflow.
Running a precision cultivation operation?
We can help you model it, predict it, and automate it — one step at a time.
Get in touch