Maofeng Bu
Papers
1
Total Citations
21
H-Index
1
About
Dr. Maofeng Bu is a leading researcher in precision agriculture and orchard robotics, with a core focus on computer vision and deep learning for automated crop management. His most impactful work centers on developing advanced segmentation algorithms to enable intelligent spraying and fertilization in complex orchard environments. Notably, his 2023 paper on "Citrus Tree Canopy Segmentation of Orchard Spraying Robot Based on RGB-D Image and the Improved DeepLabv3+" (21 citations) addresses a critical challenge: accurately segmenting citrus tree canopies from cluttered, real-world backgrounds. By integrating RGB-D imaging with an enhanced DeepLabv3+ architecture, Bu’s method significantly improves the precision and speed of canopy parameter acquisition—a fundamental requirement for precision operations like targeted spraying. This contribution directly supports the development of autonomous orchard robots, reducing chemical waste and environmental impact. Dr. Bu’s work is pivotal for students and researchers in agricultural robotics, offering a robust framework for merging sensor fusion and deep learning to solve practical field challenges. His research continues to push the boundaries of smart farming, making him a key figure in the transition toward data-driven, sustainable agriculture.
Research Focus
Key Achievements
Top Papers
- 1