AquaVita

Intelligent water-based agriculture

Plant Intelligence

Disease, growth, and yield analysis

Deep diagnostics for plant health, yield prediction, and layer-level performance.

AI-Powered Crop Monitoring

Plant AI

Simulated intelligence for growth tracking, disease detection, and harvest optimization.

Last telemetry sync

Overall Crop Health

84%

Water Saved Today

17L

Energy Saved Today

26 kWh

Active Alerts

0

Next Harvest ETA

1d

Growth Rate (weekly)

1.25

Avg. biomass growth

+4.8% vs last week

Live Camera

Live feed — auto-scan captures visible abnormalities

System Status

All systems nominal

Auto interventions: 6

Live

Plant Growth Performance

Live pH, temperature, and health streams

Live

Vertical farm map

Click a marker to inspect the plant profile and live status.

5 plants tracked
Layered vertical farming system

Selected

Lettuce A

Status

Healthy

Layer

1

Harvest ETA

19d

Live plant profile

Lettuce A

Lactuca sativa

Healthy

Plant Health Status

93%

Trend: Improving

Leaf Color

vibrant

Leaf Condition

pristine

Hydration

95%

Nutrient Balance

88%

Current Telemetry

pH

6.30

Temperature

24.5°C

Light

380 µmol

EC

1.6

Risk Score

11

Harvest ETA

19d

Disease Detection

Upload a leaf image for simulated AI diagnosis

No image uploaded yet. Auto-scan can capture a simulated frame.

Live Triage

AI Recommendations

High-priority interventions

Stable

Other

All Plants

Info

All monitored plants are within healthy AI thresholds.

AI action: No action required
Confidence: 55%
Expected gain:

Telemetry Console

Automated Action Log

Recent responses

6 recent

Automated pH stabilization successful for Basil B; high pH 7.40 was corrected.

Lettuce ApH
2:13:39 AM

Predicted heat stress in Basil B; automated airflow reduced canopy temperature.

Basil BTEMPERATURE
2:13:39 AM

Nitrogen dosing adjusted for Kale E based on growth rate anomaly.

Spinach CNUTRIENTS
2:12:41 AM

Ventilation increased by 18% due to rising humidity in Layer 4.

Layer 4CLIMATE
2:12:41 AM

LED intensity optimized for Mint D based on PAR levels.

Mint DLIGHT
2:12:40 AM

System self-check completed. All parameters within optimal range.

SystemSYSTEM
2:13:39 AM

Harvest & Efficiency

Predicted yields and system performance

Ready Soon

Kale E

1d

Basil B

11d

Spinach C

6d

Resource Savings

Water Saved16%
Energy Saved12%

AI Confidence

100%

Based on resolved interventions