Fengqi Hao
Papers
2
Total Citations
30
H-Index
2
About
Fengqi Hao is a researcher advancing the field of agricultural robotics, with a primary focus on complete coverage path planning (CCPP) for autonomous field operations. His most-cited work, a 2023 paper on an improved genetic algorithm for transplanting robots, has accumulated 30 citations across two publications, underscoring its relevance to precision agriculture. Hao’s major contribution lies in optimizing CCPP to enhance the efficiency and quality of key tasks such as tillage, fertilization, and harvesting, while simultaneously reducing operational energy consumption. By refining genetic algorithms, he addresses the critical challenge of enabling robots to navigate fields comprehensively without overlap or gaps—a fundamental requirement for autonomous farming. This work directly supports the development of smarter, more sustainable agricultural systems, positioning Hao as a contributor to the growing intersection of robotics and agronomy. His research not only improves robot autonomy but also offers practical solutions for reducing labor and resource inputs in modern farming.
Research Focus
Key Achievements
Top Papers
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- 2