Wajiha Anum
Papers
1
Total Citations
3
H-Index
1
About
Dr. Wajiha Anum is a forward-thinking researcher at the forefront of applying artificial intelligence to revolutionize the agricultural sector. Her work focuses on the convergence of machine learning, deep learning, computer vision, and IoT technologies to enhance farming productivity and sustainability. In her highly cited 2025 paper, "The Integration of Artificial Intelligence in Agriculture: Emerging Trends, Benefits and Challenges," Dr. Anum provides a comprehensive analysis of how AI-driven tools are transforming decision-making and operational efficiency in modern agriculture. This seminal work, already garnering 3 citations shortly after publication, systematically maps the benefits—from precision crop monitoring to automated robotics—while critically examining the challenges of adoption. Dr. Anum’s research serves as an essential guide for students and practitioners seeking to understand the practical deployment of AI in agri-tech. Her contributions are particularly valuable for bridging the gap between cutting-edge computational methods and real-world farming needs, positioning her as a key voice in the ongoing digital transformation of global food systems.
Research Focus
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Top Papers
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