Keep a clearer view of the nutrient solution, growing environment and equipment that your crop depends on. Skymics brings IoT monitoring, edge connectivity and AI analysis into a hydroponics project so growers can investigate changing conditions and coordinate responses within agreed operating limits.
See the growing system as a whole
The monitoring scope can include nutrient-solution pH and electrical conductivity (EC), water temperature and level, flow, air temperature, humidity and light. Dissolved oxygen may also be relevant to the growing method. The installed sensors and required measurement ranges are selected for the crop and system.
EC indicates the overall concentration of dissolved salts; it does not identify each nutrient or prove that the nutrient balance is correct. Use it alongside pH, water analysis and the grower’s crop-specific guidance, with maintained and calibrated sensors.
Bring readings, equipment events and operator actions into a timeline. That context helps the team understand whether a change followed a top-up, dosing event, pump cycle or shift in growing conditions.
Use AI to identify patterns worth checking
AI and machine learning can be scoped to complement ordinary threshold alerts:
- Detect unusual trends: flag a persistent change in pH, EC, temperature or flow rather than waiting for one extreme reading.
- Add operating context: compare the current pattern with similar pump cycles, lighting schedules or crop stages where suitable records exist.
- Support maintenance checks: identify inconsistent sensor readings or equipment patterns that merit inspection, without assuming every anomaly is a crop problem.
- Explore short-term forecasts: estimate the direction of a monitored condition where historical data supports a useful, validated prediction.
For example, falling tank level alongside an unexpected flow pattern can prompt a grower to inspect the system. The model flags the observation; the team checks the equipment and measurements before deciding what to change.
Keep recommendations separate from automatic dosing
Monitoring and AI recommendations do not automatically authorise changes to dosing, pumps, fans or lighting. Where control equipment is included, specify crop-appropriate limits, interlocks, manual override and behaviour during sensor or network faults. Validate the control design before enabling automatic responses.
Build around your existing setup
Skymics can assess sensor integration, gateways and on-device ML against your growing method and available equipment. Processing selected readings at the edge can be considered where local analysis is useful; hardware capacity and network-loss behaviour are defined for the project, not assumed.
Start with a defined growing zone or nutrient loop. Review measurement quality, useful alerts and operator response before expanding. Share the crop, hydroponic method, existing sensors and actuators, operating ranges and current monitoring challenges.
Discuss a hydroponics project
Discuss how connected monitoring and AI-assisted analysis could fit your hydroponic operation.
