Phuoc Bao Long
Papers
1
Total Citations
3
H-Index
1
About
Phuoc Bao Long is a rising researcher at the forefront of agricultural automation and deep learning, with a focused expertise in developing lightweight, high-performance computer vision models for precision agriculture. His most notable contribution is a novel, optimized deep learning architecture for detecting banana bunches and stalks in autonomous harvesting vehicles, published in 2025. This work directly addresses the critical need for efficient, real-time object detection in complex field environments, achieving impressive precision (96.3%), recall (90%), and mAP50 (94.5%)—metrics that significantly surpass both baseline and well-known models. By prioritizing model optimization without sacrificing accuracy, Long’s research paves the way for more reliable and cost-effective robotic harvesting systems. His work has already garnered early attention with 3 citations, signaling its immediate relevance to the agricultural robotics community. Long’s contributions are particularly valuable for students and researchers exploring the intersection of embedded AI, edge computing, and sustainable farming, demonstrating how tailored deep learning solutions can transform labor-intensive agricultural tasks into automated, efficient processes.
Research Focus
Key Achievements
Top Papers
- 1