PhytoCortex / Technology

Observe → Understand → Predict → Act

A modular cloud-edge architecture designed to transform real production signals into operational context, decision support and controlled actions.

1

Observe

Camera, sensors, soil, microclimate, production parameters and equipment state.

2

Understand

Synchronize multimodal data into one contextual view of production.

3

Predict

Analytics and AI modules can be added and validated for specific crops and production tasks.

4

Act

Recommendations, alerts and — when suitable actuators are integrated — controlled equipment actions.

PhytoCortex hardware and sensing architecture concept
Technology illustration. Some sensors are purchased but not yet integrated; control devices are not yet selected.
EDGE + CLOUD

Edge + cloud, by design

Part of the system works directly at the production site, while remote access and central services support supervision and future multi-site scenarios.

VisionHikRobotics GigE camera
EdgeOrange Pi
Field busRS-485 / Modbus RTU
Remote accessCloud prototype
SensingSoil · weather · PAR · leaf
ControlFuture actuator integration
CURRENT STATUS

Working core, explicit roadmap

Working now

Continuous HikRobotics camera acquisition; Orange Pi edge node; test cloud remote access to the camera.

Purchased field sensors are available but not yet connected to the running system.

Target capabilities

Analytics, AI recommendations, alerts, dashboards and an actuation layer after device selection and validation.

Actuators and valves have not yet been selected. Control is therefore presented as an architectural capability, not a currently deployed function.

Customer-specific technology configuration

The final sensing, analytics and control configuration is defined around the production task and existing infrastructure.

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