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About

Muhammad Naveed Tahir is a pioneering researcher at the intersection of precision agriculture, robotics, and advanced telecommunications. His work focuses on revolutionizing modern farming through autonomous systems and AI-driven solutions. Tahir’s most impactful contribution is the design and development of a machine vision robotic arm for vegetable crops in hydroponics, featuring an aluminum and mild steel structure validated through Solidworks stress simulations—a breakthrough in automated fruit picking that has garnered 22 citations. His 2023 paper on unmanned aerial vehicles in precision agriculture, with 34 citations, establishes foundational frameworks for drone-based crop monitoring. Tahir also explores the role of 5G and 6G technology in enabling real-time IoT connectivity for smart farming, earning 16 citations. His latest achievement is the optimized YOLOv5s-Im model for real-time apple flower detection in drone-based pollination, achieving robust performance on resource-constrained platforms with 8 citations. By integrating lightweight deep learning models, robotic automation, and next-generation networks, Tahir is shaping a future where agriculture is more efficient, sustainable, and data-driven.