Emad Makki
Papers
1
Total Citations
6
H-Index
1
About
Emad Makki is a researcher at the forefront of agricultural robotics and plant disease diagnostics, with a focus on leveraging image processing and automation to enhance crop health. His most-cited work, “Momordica charantia leaf disease detection and treatment using agricultural mobile robot” (2024), introduces an innovative robotic system that autonomously identifies leaf infections and recommends remedies—addressing the labor-intensive challenge of manual disease scouting. By integrating computer vision with mobile robotics, Makki’s research directly tackles the need for precise, real-time plant health monitoring, aiming to boost yields and reduce pesticide overuse. With 6 citations to date, this study underscores his contribution to precision agriculture, particularly for high-value crops like bitter gourd. Makki’s work bridges engineering and agronomy, offering scalable solutions for smallholder farmers and commercial growers alike. His approach not only streamlines disease detection but also paves the way for autonomous treatment, marking a significant step toward sustainable, technology-driven farming. For students and researchers, Makki’s research exemplifies how robotics and AI can transform traditional agriculture into a data-driven, efficient practice.
Research Focus
Key Achievements
Top Papers
- 1