Early Detection of Crop Disease: Plant Health Monitoring Robot

This aim of this project was to develop a prototype plant’s health-monitoring robot capable of assessing environmental conditions and benchmarking them against a standard plant's parameters. This modern system serves as an indicator of plant vitality, gauging factors such as soil moisture, ambient temperature, and humidity levels. We constructed a simulated environment to facilitate the robot's operation and showcase its functionality. The robot's design enables it to capture sequential photographic frames of the plant, allowing for real-time health assessments. These images are analyzed to determine leaf texture, with health indications expressed as percentages. For easy robot control and real-time sensor monitoring, we created a user-friendly Android app that connects via Bluetooth. The app lets you command the robot's movements and view sensor data directly on your screen. The robot efficiently navigates a predetermined route, visiting various plants within the field. Its hardware comprises an array of sensors, motors, and associated components. This research study demonstrates the potential of robotic technology in the agricultural sector and sets a precedent for future developments in the assessment of environmental conditions and early detection of plant’s diseases.