Uthaman Ilakiya
Papers
1
Total Citations
17
H-Index
1
About
Uthaman Ilakiya is a researcher at the forefront of agricultural technology and decision-making systems, specializing in the integration of fuzzy logic and multi-attribute decision-making (MADM) to enhance field robotics. Her most cited work, "A perspective study for the assessment of field robots in agriculture: An enhanced fuzzy MADM approach" (2023, 17 citations), introduces a novel framework for evaluating agricultural robots, addressing critical challenges in precision farming and automation. This contribution stands out for its practical relevance, offering a systematic method to assess robot performance under uncertainty—a key hurdle in real-world agricultural applications. Ilakiya’s research bridges the gap between theoretical optimization and field deployment, providing actionable insights for engineers and farmers alike. With a growing citation impact, her work is gaining recognition for its potential to transform labor-intensive agricultural processes into efficient, data-driven operations. By advancing fuzzy MADM techniques, she is shaping the future of smart farming, making her a notable voice in the intersection of computational intelligence and sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1