Tariq Mahmood

Institute of Business Administration Karachi

Papers

Total Citations

H-Index

About

Dr. Tariq Mahmood is a leading researcher at the intersection of artificial intelligence and sustainable agriculture, with a primary focus on deep learning for precision farming. His most influential work, a systematic literature review on weed detection using deep learning (2023, 90+ citations), has become a foundational reference in the field. This comprehensive study critically analyzed state-of-the-art computer vision techniques for identifying and classifying weeds in crops, addressing a critical agricultural challenge that causes billions in global economic losses. By synthesizing advances in convolutional neural networks and object detection algorithms, Mahmood's review has guided researchers and practitioners toward more efficient, non-chemical weed management solutions. His contributions are particularly significant given the environmental and economic urgency of reducing herbicide use while maintaining crop yields. Beyond this landmark paper, Mahmood continues to explore how AI can transform agricultural monitoring and pest control, making his work essential reading for students and researchers interested in applied machine learning, agricultural technology, and sustainable farming innovations.