Drip Irrigation and Fertigation Automation
Fixed schedules were replaced by zone-based irrigation recipes using soil, flow, pressure and fertigation data.
Company names, facility locations and identifying information have been removed. Performance values are presented as rounded ranges to protect customer confidentiality.
Drip Irrigation and Fertigation Automation
Watering time was predetermined while leaks, pressure issues and zone demand were identified through manual field checks.
The objective was to create a sustainable operating model rather than automate an isolated task.
Operational consistency
Watering time was predetermined while leaks, pressure issues and zone demand were identified through manual field checks.
Integrated architecture
We combined sensors, pumps, filters, valves and nutrient dosing in a central SCADA and recipe-based control structure.
Scenario-based acceptance
Normal operation, exceptions, recovery and critical safety scenarios were tested with operations teams.
Engineering approach
From requirement to system behavior
- Field requirements and operating constraints were modelled before implementation.
- Equipment, software and data interfaces were designed around a common operating context.
- Operator guidance, alarms and recovery scenarios were included in the design.
Controlled implementation
- We combined sensors, pumps, filters, valves and nutrient dosing in a central SCADA and recipe-based control structure.
- Changes were verified through traceable test and acceptance scenarios.
- Operations and maintenance teams participated in commissioning and handover.
Measurable operational outcome
Irrigation became a measurable production process balancing crop demand, water use, energy and nutrient delivery.
