AI-Enhanced Quad-Wheeled Robot for Targeted Plant Disease Surveillance in Greenhouses

Abstract

Technology is rapidly changing modern agriculture, resembling the Green Revolution of the early 20th century, which ushered in advanced agricultural technologies and practices, resulting in substantial increases in crop yields. The practical 4X4 greenhouse bot, attesting to the cohesive integration of the Internet of Things (IoT), Machine Learning algorithm and Robotics, is at the pinnacle of this change. These smart bots, equipped with various environmental sensors, continuously monitor, and provide real-time alerts, ensuring consistent plant health. Simultaneously, the introduction of powerful computer vision techniques, particularly models like YOLOv8, has heralded a new era of accuracy in agricultural practices. This study offers a quad-wheeled AI-powered robot with a Jetson Xavier NX powered camera module for targeted disease surveillance in greenhouses. It constantly monitors environmental conditions via IoT-equipped sensors, for early disease detection in poly-house farming hold the potential to boost farming efficiency and yields.