This smart irrigation platform integrates Arduino, Raspberry Pi (as a fog node), Firebase, and machine learning to optimize water use. It features automatic and manual irrigation modes, sensor-based real-time decision-making, and a neural network model for irrigation prediction. A mobile app built with MIT App Inventor enables remote control. The system supports data preprocessing on the Pi before syncing to the cloud for efficient and scalable agriculture automation.
ML-Based Fog-Cloud Agricultural Irrigation System
ML-Based Fog-Cloud Agricultural Irrigation System
This smart irrigation platform integrates Arduino, Raspberry Pi (as a fog node), Firebase, and machine learning to optimize water use. It features automatic and manual irrigation modes, sensor-based real-time decision-making, and a neural network model for irrigation prediction...
Organization
GitHub user
Deployment Model
Mixed
Agricultural Production Step
Irrigation
End User
Farmers, Developers
Category
Used for
Crops
TRL
5-6
Community Engagement
Low
Number of Forks
0
Country
Universal
Disclamer
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