ASHLEY connects soil moisture and temperature sensors, weather data, AI-generated schedules, and compatible irrigation equipment. Monitoring and remote control are part of the roadmap and will be introduced as they become available.
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Core stages in the watering loop: sense, analyze, execute, monitor
How it works
Sense, analyze, execute
Each stage hands a clear output to the next, so every watering decision traces back to measured outdoor conditions.
1. Sensors collect data
Soil moisture and temperature sensors, combined with weather and environmental data, record outdoor conditions where plants are growing.
2. AI analyzes conditions
The AI reviews soil moisture, temperature, and weather together to generate watering schedules suited to current conditions.
3. Equipment executes
Compatible irrigation devices carry out the scheduled watering, while users can monitor system status remotely as that capability is developed.
Core capabilities
What the system does
Weather-based scheduling
Watering schedules take local weather conditions into account, so timing responds to the environment rather than a fixed calendar.
Soil and temperature monitoring
Soil moisture and temperature readings show the conditions beneath the surface, where watering decisions begin.
AI-powered recommendations
The AI turns environmental data into watering recommendations. Automated execution depends on compatible equipment.