Every sensor reading, turned into a decision.
MdnAgroTech pulls pH, EC, temperature, humidity, CO2, light and moisture into one AI-interpreted view — so the numbers your sensors produce become clear, ranked action instead of raw logs.
Sensing that understands context.
A logging dashboard shows you a pH of 5.4. AI sensing tells you that for this crop, at this growth stage, in this zone, that reading is trending toward a problem — and pairs it with what the cameras are already seeing.
- Live streaming from connected controllers and sensors
- Per-crop, per-stage baselines instead of static limits
- Sensor + vision correlation for higher-confidence alerts
- Feeds directly into nutrition guidance and automation
// live environment · zone Z-03
pH
5.4
EC
1.4 mS
Temp
22.1°C
Humidity
63%
CO₂
820 ppm
Moisture
41%
AI: pH + EC drifting low together — nutrient uptake risk building.
Six capabilities behind every environment score.
Multi-sensor fusion
pH, EC, temperature, humidity, CO2, light and substrate-moisture readings are fused into a single, AI-interpreted environment score per zone.
AI-interpreted, not just logged
Raw sensor numbers become meaning — the model learns what 'normal' looks like for your crop and stage, and flags drift before a static threshold would.
Real-time drift detection
Continuous streaming from connected sensors surfaces slow drift and sudden spikes the moment they start, not at the next manual check.
Cross-checked with vision
Sensor signals are correlated with what the cameras see, so an EC reading and early leaf stress confirm each other into one confident alert.
Trend baselining
Every sensor builds a rolling baseline per zone and stage, so thresholds adapt across the crop cycle instead of firing false alarms.
Works with your sensors
Connect existing controller and sensor exports via CSV or API — no rip-and-replace of the hardware you already trust.