Vertigation-ML System
A PHP-based thesis web application for a vertical irrigation system integrated with machine learning outputs. Implemented backend logic to manage sensor data, irrigation control, and system monitoring. Connected ML-generated insights to the web interface for decision support and automation.
Project Highlights
Integrated machine learning outputs into a PHP web interface for real-time decision support.
Built backend logic to manage IoT sensor data and irrigation control.
Developed system monitoring dashboard for irrigation automation.
Connected ML-generated insights to automate irrigation workflows.
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