Barari

Barari Intelligence

Delivered by Torrevie

Business, Irrigation, and Natural Resources Intelligence

AI Predictive Operations

Operational recommendations focused on irrigation decisions, water conservation, utility variance, and natural resources resilience.

Soyl
Torrevie
Demo Environment

Operator Approval Queue

Predictive irrigation and resource actions

Rule-based AI simulation
HIGH

Escalate moisture recovery plan for Khalifa City Green Corridors

Forecast heat and low overnight humidity create an 18-hour vegetation stress window.

Inspect irrigation schedule, validate water meter variance, and increase observation frequency.

74 m3 watch
Business impact: Protects public-facing landscape quality while avoiding unnecessary blanket irrigation. Confidence: 89%.
MEDIUM

Delay non-critical irrigation in Al Ain Palm Shelter Belt

Vegetation index is healthy and forecast wind drops after sunset.

Shift next cycle later and preserve daily water budget.

96 m3 saved
Business impact: Expected reduction of 96 m3 without degrading vegetation health. Confidence: 86%.
MEDIUM

Review salinity trend in Al Wathba Native Habitat

Salinity rose from 1.5 to 1.9 dS/m while soil moisture stayed within target.

Flag for agronomy review and compare with weather station evaporation trend.

No extra water
Business impact: Prevents unnecessary water use by distinguishing salinity stress from moisture stress. Confidence: 81%.
LOW

Prepare weekly natural resources brief

Satellite and sensor signals are sufficiently complete for weekly automated reporting.

Generate stakeholder-ready summary with exception notes.

No extra water
Business impact: Reduces manual reporting effort and supports governance review. Confidence: 94%.