From Light to Nutrient Solution,
Precision Cultivation in a Fully Controlled Environment
In urban smart farms and specialty-crop cultivation, a 1% environmental error can change your profitability. LED lighting, drainage and nutrient solution, plant temperature — control every variable of indoor cultivation with precision.
The Precision Battle of Indoor Cultivation
Burden of Energy Costs
LED lighting and HVAC account for most operating costs, yet they run in bulk without optimization for each growth stage.
Difficulty Managing Nutrient Solution
Even a slight deviation in EC/pH degrades marketability, but manual measurement and adjustment have their limits.
Scaling Up Without Data
When cultivation recipes rely on human intuition, adding layers and racks fails to replicate quality uniformly.
Cultivation Recipe Automation
That AI Learns
- Precision LED lighting control — schedules light intensity and photoperiod by growth stage to optimize energy efficiency
- Drainage & nutrient solution optimization — automatic adjustment based on real-time EC/pH sensor feedback
- Plant temperature sensors — measures the plant's own temperature rather than the air to prevent climate shock
- AI analysis integration — RAG-based AI analyzes growth data and proposes improvements
- Turning cultivation recipes into data — record successful cycles and replicate them at the layer and rack level
RAG-Based AI Farming Support
Evidence-based AI that proposes stage-matched fertilization to prevent waste and diagnoses disease and stress signs early.
View TechnologyPlant Temperature & PAR Sensors
From photosynthetically active radiation (PAR) to plant temperature — a sensor lineup that observes plant activity directly.
View ProductWhat Changes After Adoption
- Automatic scheduling by growth stage — automatically controls light and nutrient solution to match the growth stage.
- Recipe-based replicated cultivation — maintains uniform quality with proven cultivation recipes.
- AI growth data analysis — delivers cultivation insights from accumulated data.
Case studies — National forestry research institute (educational/research smart farm) · 2 university research teams (research smart farm builds)