Automated Irrigation Course

Lesson 1 • Water and Soil Interactions

Covers soil texture, structure, and water-holding capacity as the physical basis for irrigation decisions. Links soil properties directly to scheduling logic used throughout the course.

Lesson 2 • Irrigation Water Sources and Quality

Surveys surface water, groundwater, and reclaimed water as supply options. Introduces water quality parameters that affect system design and crop safety.

Lesson 3 • Core Irrigation Terminology

Defines essential vocabulary used across all subsequent chapters. Ensures consistent communication among designers, operators, and agronomists.

Lesson 1 • Drip and Micro-Irrigation Components

Examines emitters, drip tape, micro-sprayers, and subsurface drip tubing. Highlights why drip systems are the dominant platform for automation integration.

Lesson 2 • Pumps, Pipes, and Valves

Explains centrifugal and submersible pumps, pipe materials, and valve types used in irrigation networks. Provides the hydraulic infrastructure knowledge needed for automation design.

Lesson 3 • Filtration and Water Treatment Hardware

Details screen, disc, sand media, and centrifugal filters and their maintenance requirements. Proper filtration prevents emitter clogging, which is critical for automated system reliability.

Lesson 4 • Sprinkler System Components

Covers fixed, rotating, and impact sprinkler heads, lateral pipes, and mainlines. Connects component selection to uniformity and pressure requirements introduced earlier.

Lesson 1 • Pressure and Flow Fundamentals

Introduces Bernoulli's principle, friction loss, and velocity head as the basis for hydraulic calculations. These concepts underpin every pipe sizing and pump selection decision.

Lesson 2 • Emitter and Sprinkler Hydraulics

Examines pressure-discharge relationships for emitters and sprinkler heads. Connects manufacturer specifications to field performance and uniformity outcomes.

Lesson 3 • Pipe Sizing and Network Layout

Applies friction loss calculations to select pipe diameters for mainlines and laterals. Correct sizing ensures adequate pressure at the most remote emitter.

Lesson 4 • Pump Selection and System Curves

Teaches how to overlay system curves onto pump curves to identify the operating point. Ensures pump selection meets flow and pressure demands without energy waste.

Lesson 1 • Crop Water Demand Estimation

Applies crop coefficients across growth stages to convert reference ET into crop-specific water demand. Seasonal demand curves guide automated controller programming.

Lesson 2 • Soil Moisture-Based Scheduling

Uses soil moisture sensor data to trigger irrigation when depletion reaches a management threshold. Introduces the concept of readily available water as the scheduling trigger.

Lesson 3 • Calendar and Water Balance Scheduling

Explains fixed-interval and checkbook water balance methods as alternatives to sensor-based scheduling. Provides scheduling options for operations without sensor infrastructure.

Lesson 4 • Reference Evapotranspiration Calculation

Covers the Penman-Monteith method and simplified temperature-based approaches for estimating reference ET. Accurate ET estimation is the foundation of all demand-driven scheduling.

Lesson 1 • Solenoid Valves and Actuators

Explains how solenoid valves convert electrical signals into water flow control. Covers latching vs. non-latching types and their wiring requirements.

Lesson 2 • Irrigation Controllers and Decoders

Compares standalone, modular, and two-wire decoder-based controllers for different scale operations. Decoder systems are the dominant platform for large automated installations.

Lesson 3 • Power Supply and Surge Protection

Addresses AC transformer sizing, battery backup, solar power options, and lightning surge protection. Reliable power delivery is critical for uninterrupted automated operation.

Lesson 4 • Field Wiring and Communication Cables

Covers wire gauge selection, burial depth, splicing techniques, and fault detection for field wiring. Reliable wiring is the most common failure point in automated systems.

Lesson 1 • Pressure and Flow Monitoring

Explains pressure transducers and inline flow sensors used for real-time hydraulic monitoring. Continuous pressure and flow data enable automated fault detection and alerts.

Lesson 2 • Weather Stations and ET Sensors

Covers on-site weather station components and ET-based rain sensors for automatic schedule adjustment. Local weather data improves scheduling accuracy over regional reference data.

Lesson 3 • Soil Moisture Sensor Technologies

Compares tensiometers, capacitance, TDR, and granular matrix sensors by accuracy, cost, and maintenance. Sensor selection directly affects scheduling reliability in automated systems.

Lesson 4 • Sensor Installation and Calibration

Provides step-by-step procedures for installing sensors at representative field locations and verifying calibration. Proper installation prevents the data errors that undermine automated decisions.

Lesson 1 • SCADA and Central Control Software

Introduces supervisory control and data acquisition platforms for managing large multi-zone systems. Central software provides unified scheduling, monitoring, and reporting across an entire operation.

Lesson 2 • Mobile Apps and Cloud Platforms

Demonstrates how mobile applications and cloud dashboards enable remote monitoring and schedule changes. Cloud integration allows agronomists and managers to collaborate on irrigation decisions.

Lesson 3 • Weather-Based Smart Controllers

Explains ET-based and historical climate controllers that adjust run times without manual input. These controllers reduce water use by matching application to actual atmospheric demand.

Lesson 4 • Sensor-Based Closed-Loop Control

Covers feedback control logic where soil moisture or flow data directly triggers or halts irrigation. Closed-loop systems eliminate scheduling guesswork and respond to real field conditions.

Lesson 1 • Electrical and Controller Troubleshooting

Covers multimeter-based diagnosis of solenoid faults, wiring shorts, and controller output failures. Electrical faults are the most frequent cause of automated system downtime.

Lesson 2 • Performance Auditing and Optimisation

Teaches field audit procedures to measure current uniformity and identify improvement opportunities. Optimisation closes the gap between design intent and actual system performance.

Lesson 3 • Diagnosing Hydraulic Faults

Provides systematic methods for identifying low pressure, high pressure, and flow anomalies in the field. Hydraulic fault diagnosis relies on the pressure and flow concepts from earlier chapters.

Lesson 4 • Water Quality and Clogging Management

Addresses biological, chemical, and physical clogging causes and their remediation through flushing and chemical treatment. Clogging is the primary long-term threat to drip system uniformity.