This smart irrigation system uses a NodeMCU with DHT11 and soil moisture sensors, connected to the ThingSpeak IoT cloud. A Python-based central controller retrieves real-time data, gathers precipitation info via API, and uses a Random Forest ML model to predict optimal soil moisture. It accounts for crop type and day/night conditions (via LDR) to control irrigation efficiently. The system supports remote monitoring and dynamic, data-driven water management for precision farming.
Smart Irrigation System using ML and IoT
Smart Irrigation System using ML and IoT
This smart irrigation system uses a NodeMCU with DHT11 and soil moisture sensors, connected to the ThingSpeak IoT cloud. A Python-based central controller retrieves real-time data, gathers precipitation info via API, and uses a Random Forest ML model to predict optimal soil moisture...
Organization
GitHub user
Deployment Model
Cloud
Agricultural Production Step
Irrigation
End User
Farmers, Developers
Category
Used for
Crops
TRL
5-6
Community Engagement
Low
Number of Forks
1
Country
Universal
Disclamer
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