Video Transmission in Plant Growth Monitoring Systems Using IoT

Abstract This research focuses on video transmission analysis for plant growth monitoring using IoT (Internet of Things) technology. It contributes to videobased analysis of plant changes and growth using a frame-by-frame basis. The study introduces a novel IoT-based approach for monitoring land spinach plant growth (Kale - Ipomea Reptans Poir ), utilizing ESP32-CAM combined with ImageJ software. The system provides a cost-effective, real-time solution for measuring plant leaf area, addressing the limitations of manual methods and expensive alternatives. This approach enhances agricultural monitoring with precise and automated analysis, demonstrating measurable improvements in leaf size determination over 20 days. The system succeeded in monitoring the leaves of land kale plants, displayed images on the web server, and successfully processed ImageJ, where, for 20 days of research, its leaves were monitored automatically based on IoT.