T-Irrigate

T-Irrigate is an AI-based irrigation optimization solution that enables farmers to execute their irrigation activities with the right amount, at the right time.

• Raw agricultural data collected from soil moisture & temperature sensors positioned in the field are transferred into the AI Platform.
• The data is then transformed into relevant information through the application of Algorithms and Artificial Intelligence.
• Focusing on “water and root” data, field-specific critical water thresholds are calculated.
• The optimal irrigation level is determined for farmers, aiming to manage irrigation activities at these specified levels.

Features

• Soil Moisture & Temperature
  Irrigation in the right amount at the right time by measuring soil moisture and temperature with sensors placed at different depths beneath the ground
• Soil Moisture & Temperature & EC
  Precise fertigation decisions measuring soil salinity levels, together with soil moisture and temperature data
• Flowmeter
  Flow rate passing through the irrigation line, along with the irrigation start and cut-off times
• Water Pressure Sensor
  Swiftly addressing potential pressure issues by real-time water pressure data during active irrigation
• Rainfall
  Accurate measurement of the rainfall quantity in the fields where pivot and sprinkler irrigation systems are placed
• Ultrasonic Flowmeter
  Using sound waves to measure the flow on irrigation pipes within pivot irrigation systems
• Leaf Wetness & Canopy Temperature
  Leaf surface wetness caused by dew, rainfall, or spray irrigation measurement
• Weather
  Using air temperature data for precise identification of the required irrigation amount for the field and detecting potential frost risks

Our primary differences

We feed soil sensor and T-Weather data into our AI Platform, and calculate critical field water thresholds keeping huge focus on “water and root” data.

• Detailed information about what’s happening on under the ground
• Field managers and farm owners have full visibility into their fields with real time data
• Minimizing employee mistakes 
• Input optimization 
• Preventing waste of valuable water and other resources (fertilizer, labor, etc.) 
• Electricity saving 
• Ensure sustainability in agriculture