AI-Integrated Soil Water Conservation Platform
Executive Overview
Portfolio-level view of water savings, field risk, device availability, and AI irrigation decisions.
Water saved today
1049 m3
25% below baseline demand
Operational coverage
3 sites
8 irrigation zones monitored
Device availability
92%
20 sensors and 4 controllers
Open alerts
3
Prioritized by irrigation and device risk
Water Conservation Evidence
Baseline vs AI-optimized daily water use
AI Action Queue
Recommendation highlights
ZONE-W1
irrigate nowMoisture 19% vs target 23% | 3-day ET average 8.7 mm/day | NDVI 0.68 with thermal anomaly 2.4 C
ZONE-W2
reduce irrigationMoisture 31% vs target 28% | 3-day ET average 8.7 mm/day | NDVI 0.83 with thermal anomaly 0.8 C
ZONE-W3
irrigate nowMoisture 24% vs target 32% | 3-day ET average 8.7 mm/day | NDVI 0.78 with thermal anomaly 2.4 C
Site Status
Al Wathba Conservation Landscape
Al Wathba, Abu Dhabi
Al Ain Date Palm Research Farm
Al Foah, Al Ain
Khalifa City Municipal Parks
Khalifa City, Abu Dhabi
Evapotranspiration and Heat Outlook
5-day weather intelligence
Demo message
Soyl can demonstrate measurable water savings, live visibility across distributed assets, and a scalable operating model for Abu Dhabi landscapes by combining soil sensors, weather/ET forecasting, vegetation intelligence, and auditable AI recommendations.
Low soil moisture: Road Median Planting has remained below target moisture for 5 hours.