Queling Qiu
Papers
1
Total Citations
9
H-Index
1
About
Queling Qiu is a researcher at the forefront of applying big data and intelligent systems to aquaculture and environmental monitoring. Her work centers on developing practical, data-driven platforms that replace manual, inefficient processes with automated, real-time solutions. Her most-cited paper, "Implementation of Water Quality Management Platform for Aquaculture Based on Big Data" (2020, 9 citations), exemplifies this focus by introducing a SpringBoot-based framework that enables farmers to continuously collect, store, and analyze water quality data. This innovation directly addresses a critical industry challenge—the inability to rapidly reuse water quality information—thereby improving both the quality and yield of aquaculture operations. Qiu’s contributions lie in bridging the gap between advanced computational tools and on-the-ground agricultural needs, making her work highly relevant for sustainable food production. Her research not only demonstrates technical proficiency in big data architectures but also a clear commitment to solving real-world problems, positioning her as a key figure in the digital transformation of aquaculture.
Research Focus
Key Achievements
Top Papers
- 1