Zhibin Peng
Papers
1
Total Citations
9
H-Index
1
About
Dr. Zhibin Peng is a researcher at the forefront of applying big data and intelligent systems to aquaculture and environmental monitoring. His primary research areas include water quality management, data-driven agricultural platforms, and the integration of Internet of Things (IoT) technologies for sustainable farming. Dr. Peng’s most notable contribution is the development of a comprehensive water quality management platform for aquaculture, as detailed in his highly cited 2020 paper, "Implementation of Water Quality Management Platform for Aquaculture Based on Big Data." This work addresses a critical industry challenge—the manual, inefficient collection of water quality data—by leveraging the SpringBoot framework to create a real-time, automated system that enables farmers to monitor, store, and analyze key parameters. The platform has garnered 9 citations, reflecting its practical impact on improving aquaculture yields and resource efficiency. Dr. Peng’s research bridges the gap between traditional farming practices and modern digital solutions, offering scalable tools that empower farmers to make data-informed decisions. His work is a vital step toward precision aquaculture, with potential applications in global food security and environmental stewardship.
Research Focus
Key Achievements
Top Papers
- 1