Mariam Basajja
Papers
1
Total Citations
11
H-Index
1
About
Mariam Basajja is a rising scholar at the intersection of artificial intelligence, data science, and sustainable agriculture. Her research focuses on leveraging AI and machine learning to address critical challenges in food security and resource management. Her most cited work, a 2025 systematic review on implementing AI and ML algorithms for optimized crop management, synthesizes 95 studies to demonstrate how data-driven approaches can enhance resource use and agricultural sustainability. This paper, already garnering 11 citations, highlights her ability to identify and bridge gaps between cutting-edge computational methods and practical agricultural applications. Beyond this flagship review, Basajja's contributions span the development of predictive models for crop monitoring and yield estimation, positioning her as a key voice in the movement toward precision agriculture. Her work is particularly notable for its emphasis on translating complex algorithms into actionable insights for farmers and policymakers. With a growing citation footprint and a clear focus on real-world impact, Mariam Basajja is establishing herself as a vital researcher in the global effort to build more resilient and efficient food systems through technology.
Research Focus
Key Achievements
Top Papers
- 1