Smart Plant Monitoring System
DOI:
https://doi.org/10.64751/ajmimc.2026.v5.n2(2).355Keywords:
Plant Monitoring, IoT, ESP32-CAM, Plant Disease Detection, Deep Learning, Flask, PyTorch, AI Agriculture, Smart Farming, Sensor Integration.Abstract
The Smart Plant Monitoring System is designed to improve the health, growth, and safety of plants using modern IoT and artificial intelligence technologies. The system provides real-time monitoring of soil moisture, temperature, humidity, and light intensity using sensor hardware, combined with AI-based plant disease detection through image processing. It helps farmers, plant enthusiasts, and agricultural researchers monitor plant conditions continuously and receive intelligent recommendations for better crop management. The system is developed using a Python Flask backend, PyTorch-based deep learning for disease detection, ESP32-CAM hardware, Claude AI integration, SQLite database, and a glassmorphism HTML/CSS/JS frontend with Chart.js visualizations. Overall, it improves plant health management, reduces manual monitoring effort, and provides a reliable intelligent solution for modern precision agriculture.
