Nafeesa Yousuf Murad

Institute of Business Administration Karachi

Papers

Total Citations

H-Index

About

Nafeesa Yousuf Murad is a leading researcher at the intersection of artificial intelligence and precision agriculture, with a primary focus on deep learning applications for crop management and weed detection. Her most influential work, the 2023 systematic literature review "Weed Detection Using Deep Learning," has garnered 90 citations, establishing her as a key voice in addressing one of agriculture's most pressing challenges: the economic and environmental impact of weeds on global crop production. Murad's research systematically evaluates state-of-the-art computer vision techniques, providing a comprehensive framework for developing automated weed identification systems that can reduce herbicide use and lower production costs. By synthesizing advances in convolutional neural networks and object detection algorithms, she has helped bridge the gap between cutting-edge AI research and practical agricultural solutions. Her work not only highlights the significant potential of deep learning to transform traditional farming practices but also identifies critical gaps and future directions for the field. Murad's contributions are particularly valuable for researchers and students exploring sustainable agriculture technologies, as her systematic approach offers both a foundational reference and a roadmap for developing more efficient, environmentally friendly crop management systems.