Meiwei Li

Ministry of Agriculture and Rural Affairs

Papers

1

Total Citations

24

H-Index

1

About

Meiwei Li is a leading researcher at the intersection of computer vision, artificial intelligence, and agricultural automation. Their most-cited work, a comprehensive 2024 review on image processing and AI for apple detection and localization, has already garnered 24 citations, underscoring its timely impact on precision agriculture. Li’s primary contributions lie in developing robust, real-time algorithms that enable machines to accurately identify and locate fruit in complex orchard environments—a critical step toward autonomous harvesting and yield estimation. By synthesizing advances in deep learning, sensor fusion, and edge computing, Li has helped bridge the gap between laboratory AI and practical field deployment. This work not only reduces labor dependency but also enhances crop management efficiency. Li’s research is widely recognized for its clarity and applicability, making it a go-to resource for engineers and agronomists alike. With a growing citation record and a focus on solving real-world agricultural challenges, Meiwei Li continues to shape the future of smart farming through innovative, data-driven solutions.

Research Focus

Key Achievements

1
H-Index
1
Papers
24
Total Citations
24
Avg Citations/Paper
🏆 Most Cited Paper
Image processing and artificial intelligence for apple detection and localization: A comprehensive review
24 citations · 2024
📈 Most Prolific Year: 2024 (1 Papers)
🤝 Key Collaborators: 10
🏛 Institutions: Ministry of Agriculture and Rural Affairs

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago