Papers
2
Total Citations
36
H-Index
2
About
Arif Ullah is a rising researcher at the intersection of artificial intelligence, sustainable development, and precision agriculture. His work focuses on harnessing AI to solve real-world challenges, particularly in smart city infrastructure and agricultural automation. Ullah’s most cited paper, “Recent Applications of Artificial Intelligence for Sustainable Development in Smart Cities” (2022), has garnered 24 citations, establishing a foundational framework for integrating AI into urban sustainability initiatives. His notable contribution in precision agriculture, “Real-Time Wheat Classification System for Selective Herbicides Using Broad Wheat Estimation in Deep Neural Network” (2019), addresses the critical bottleneck of manual seed identification in farming. By developing an automatic, deep learning-based classification system, Ullah’s work enables real-time, selective herbicide application—reducing chemical use and improving efficiency. This research holds significant economic and technical importance for the agricultural industry, particularly in the era of big data. Ullah’s achievements demonstrate a clear commitment to applied AI, bridging the gap between cutting-edge deep neural networks and tangible, sustainable outcomes in both urban and rural environments.
Research Focus
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Top Papers
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