AI Smart Plant Monitoring Kit for IoT & STEM Learning | Includes Soil Moisture, Light, Temperature & Humidity Sensors | Arduino + ESP32 Wireless Logging for Greenhouse Automation | Real-Time Dashboard | Ideal for AI, IoT & Smart Farming Education

AI plant monitoring system introduces students to intelligent agriculture and IoT automation through hands-on environmental experiments. Educational kit integrates sensors for soil moisture, light intensity, temperature, and humidity to collect real-time data. Arduino and ESP32 microcontrollers transmit readings wirelessly to a cloud dashboard for visualization and analysis, bridging physical agriculture with digital intelligence.

Smart system demonstrates how AI and IoT technologies transform traditional farming into precision-controlled ecosystems. Students learn to calibrate sensors, analyze patterns, and set automated irrigation thresholds based on data-driven decisions. The system’s modular structure supports multiple configurations, enabling experiments in greenhouse automation, sustainable irrigation, and environmental awareness.

STEM platform encourages algorithmic thinking by teaching how microcontrollers process sensor data, communicate via MQTT or HTTP protocols, and integrate with online AI dashboards. Each exercise guides learners to design condition-based responses — such as activating water pumps when soil moisture drops — using logic coding in Arduino IDE or MicroPython.

Real-time monitoring is visualized through customizable dashboards showing graphs of temperature, humidity, and light conditions. Students can connect mobile devices or PCs to analyze trends, export data, and make predictions using AI-assisted models. The project links agriculture, coding, and environmental studies, helping learners understand the power of technology in sustainable farming.

Comprehensive documentation includes wiring diagrams, code templates, and project challenges for school, university, or research use. AI-Plant kit provides an ideal foundation for future exploration of robotics, AI automation, and IoT-based climate control systems. It transforms scientific curiosity into tangible engineering skills while promoting eco-friendly innovation and sustainable growth awareness.