SMART GARDENING THROUGH AI-INTEGRATED IOT: A FRAMEWORK FOR INTELLIGENT MONITORING AND AUTOMATED CONTROL

Urban Farm DB summary

This research proposes an AI-based IoT approach for intelligent monitoring, prediction, and automation in smart gardens. The system includes distributed environment sensors, an edge processing unit for real-time processing and decision support, and a cloud-based machine learning module for prediction and optimization. The AI-driven system attained better prediction accuracy for soil moisture estimation and used considerably less water than traditional rule-based irrigation, without compromising plant health.