Abdullah Alshammari
Papers
1
Total Citations
17
H-Index
1
About
Abdullah Alshammari is a researcher whose work lies at the intersection of decision science and agricultural automation, with a particular focus on enhancing the evaluation of field robots. His most cited paper, "A perspective study for the assessment of field robots in agriculture: An enhanced fuzzy MADM approach" (2023), has garnered 17 citations, reflecting its timely contribution to the growing field of precision agriculture. In this work, Alshammari introduces an advanced fuzzy multi-attribute decision-making (MADM) framework that systematically assesses the performance and suitability of agricultural robots—a critical step toward optimizing crop management and reducing human labor. By integrating fuzzy logic with MADM, his approach addresses the inherent uncertainty and subjectivity in robot evaluation, offering a robust tool for stakeholders. This contribution not only advances theoretical decision-making models but also provides practical guidance for deploying autonomous systems in real-world farming contexts. Alshammari’s research is particularly valuable for students and engineers exploring the intersection of artificial intelligence, robotics, and sustainable agriculture, demonstrating how quantitative methods can solve complex, multi-criteria problems in emerging technologies.
Research Focus
Key Achievements
Top Papers
- 1