AI Technology
Photo identification pairs with light, temperature, humidity, and soil-moisture readings from supported sensors to guide daily care. Plant-care algorithms turn that data into practical next steps.
Interactive demo
Describe a symptom in plain language. The assistant covers yellow leaves, watering, lighting, fertilizing, and general plant health, and explains which observations matter most.
Demo conversation: "My pothos has yellow lower leaves." Possible causes include overwatering or low light. Check soil moisture before adjusting the schedule.
Plant recognition from photos provides care advice. Assistant conversations are illustrative and do not guarantee plant outcomes.
Environmental sensing
Analyzes soil moisture to recommend watering. Automatic watering requires compatible hardware and is never applied without safeguards.
Tracks light and temperature with supported sensors so care guidance reflects the conditions around each plant.
Monitors humidity through supported sensors, helping you compare conditions over time rather than guess.
Care and records
Care schedules adapt to each plant and your settings, with notifications when a check is due.
Plant photos are recorded alongside care history so growth is easy to review.
Sensor readings are logged to show how light, humidity, and soil moisture change across weeks.
Intelligent automation
Supported functions adjust based on sensor readings and your settings, with watering safeguards in place. Automatic watering requires compatible hardware. Some functions shown here are planned and not yet available.
Soil-moisture recommendations, sensor monitoring with supported sensors, schedules and reminders.
Automatic watering needs compatible hardware. Other automation features are planned and listed as such on the shop page.
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