N. S. Mustafa
Papers
2
Total Citations
40
H-Index
2
About
N. S. Mustafa is a leading researcher in agricultural robotics and precision automation, with a focus on developing intelligent systems for fruit harvesting and pollination. Their work bridges computer vision and mechanical design to address critical challenges in modern agriculture. Mustafa’s most cited paper, "Vacuum suction end-effector development for robotic harvesters of fresh market apples" (2024, 32 citations), introduces a novel soft-robotic gripper that minimizes fruit damage, a breakthrough for commercial adoption of automated apple picking. Their subsequent work, "Optimized Yolov5s-Im for real-time apple flower detection in drone-based pollination" (2025, 8 citations), presents a lightweight deep learning model that achieves robust, real-time flower detection on resource-constrained drones. This innovation enables more precise pollination attempts, directly improving crop yields. By validating the YOLOv5s-Im model across diverse platforms, Mustafa has demonstrated its practical deployability in field conditions. Their research has significant implications for reducing labor dependency and enhancing food security through scalable automation. With a growing citation record and a focus on end-to-end robotic solutions, Mustafa is establishing themselves as a key contributor to the next generation of smart farming technologies.
Research Focus
Key Achievements
Top Papers
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