Enable Smarter Crop Management with
Monitor Crops Using
Node-RED IoT
Focuses on designing and implementing an IoT-enabled crop monitoring system, including sensor data collection, real-time dashboard visualisation and irrigation automation for better farm decision-making
Why Real-Time Crop Monitoring Matters in Modern Agriculture
Crop monitoring activities often rely on manual inspection or fixed irrigation routines, which may reduce responsiveness to changing environmental conditions.
With IoT-enabled monitoring, teams can gain clearer visibility into crop health indicators, enabling more informed irrigation planning and improved farm operational awareness.
3 Key Operational Challenges
Limited Visibility into Crop Conditions
Manual monitoring makes it difficult to detect changes in soil and environmental conditions early.
Irrigation Decisions Based on Fixed Schedules
Watering activities are often performed without real-time crop data, reducing efficiency and consistency.
Fragmented Monitoring and Data Interpretation
Environmental readings are not always centralised, making trend analysis and timely decision-making more challenging.
How This Training Addresses Those Challenges
Real-Time Crop Monitoring Setup
Participants integrate IoT sensors and controllers to capture live environmental data and improve visibility into crop conditions.
Data-Informed Irrigation Decisions
Dashboards and alert logic are configured to support more responsive irrigation planning based on real-time readings.
Integrated Monitoring and Automation Workflows
Participants develop a unified system that connects sensor data, visual dashboards and control actions through simple automation flows.
What Participants Will Do Over 3 Days
HRDCorp claimable | Customisable training delivery
Day 1 — Set Up IoT Crop Monitoring System
What participants will do:
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Configure IoT controllers and environmental sensors
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Capture live soil moisture and temperature data
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Establish basic dashboard visualisation
Outcome by end of Day 1:
Participants set up a working IoT crop monitoring environment with real-time data visibility.
Day 2 — Build Monitoring Dashboards and Alerts
What participants will do:
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Structure and interpret collected sensor data
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Design dashboards to track crop condition indicators
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Configure threshold alerts to support irrigation planning
Outcome by end of Day 2:
Participants translate sensor readings into actionable monitoring insights.
Day 3 — Develop Automation Workflows and Mini Project
What participants will do:
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Create Node-RED monitoring and control flows
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Implement simple irrigation automation logic
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Demonstrate a functional smart crop monitoring prototype
Outcome by end of Day 3:
Participants complete an integrated IoT monitoring system with automation capability.
This Training Is Suitable For:
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Engineering and Technical Professionals
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Agriculture and Plantation Operations Personnel
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Industry 4.0 and Automation Practitioners
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TVET Educators and Trainers
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Agritech Solution Providers
