Dr. Medhat Moussa
Research Overview
Dr. Medhat Moussa’s research focuses on developing intelligent robotic systems for agriculture and food-related applications that require operation in complex, unstructured environments. His work integrates robotics, computer vision, embedded machine learning, and sensor-based perception to enable robots to perform tasks such as manipulation, inspection, and interaction within dynamic agri-food settings.
A core aspect of his research is the end-to-end prototyping of robotic systems, combining industrial manipulators, sensing technologies, specialized computing hardware, and adaptive control software. This research supports the automation of agricultural and food processes, improving efficiency, safety, and precision across the agri-food value chain.
Research Keywords
Agricultural robotics | Robotic manipulation and grasping | Computer vision | Embedded machine learning | Human–robot interaction | Intelligent sensing systems | Reconfigurable computing | Autonomous systems | Food Production Automation
Dr. Moussa's Projects
AI-Enabled Robotic Weed Scouting and Precision Spraying in Lima Bean Farmers
This project develops an AI-powered tractor-mounted robotic system that uses computer vision to detect weeds and generate field-scale weed density maps. The system enables precision herbicide application, reducing chemical use, costs, and production losses while improving crop health and yield quality.
