Daniel Dooyum Uyeh
Papers
4
Total Citations
65
H-Index
4
About
Daniel Dooyum Uyeh is a leading researcher in agricultural robotics and protected cultivation systems, focusing on the intersection of automation, greenhouse optimization, and sustainable food production. His work addresses critical challenges in modern agriculture, including labor shortages, hazardous working conditions, and the need for climate-resilient food systems. Uyeh’s most cited paper, “Analyses of Work Efficiency of a Strawberry-Harvesting Robot in an Automated Greenhouse” (34 citations), provides foundational insights into robotic performance in controlled environments, demonstrating how automation can enhance productivity while reducing human risk. He further advanced the field with “Evolutionary Greenhouse Layout Optimization for Rapid and Safe Robot Navigation” (15 citations), introducing novel algorithms to design greenhouses that facilitate efficient and safe robot movement. His research on robot scheduling (9 citations) and technological retrofitting of plant production systems (7 citations) underscores his commitment to practical, scalable solutions. Uyeh’s work is pivotal for students and researchers exploring smart agriculture, offering a roadmap for integrating robotics into protected cultivation to meet global food demands amid climate change and resource constraints.
Research Focus
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