Wei‐Chih Lin

National Sun Yat-sen University

Papers

3

Total Citations

6

H-Index

2

About

Wei-Chih Lin is a leading researcher in precision agriculture and agricultural robotics, with a focus on developing intelligent systems for crop management. His work centers on integrating deep learning and sensor fusion to automate key tasks in specialty crop production. A major contribution is a lightweight, optimized deep learning model for detecting banana bunches and stalks, designed for autonomous harvesting vehicles. This model achieved exceptional performance—96.3% precision, 90% recall, and 94.5% mAP50—surpassing baseline and state-of-the-art models, with 3 citations. Lin also developed and field-evaluated a fully autonomous spraying robot for papaya greenhouses, using a UWB-IMU navigation system that provides accurate localization in complex environments where GPS fails, garnering 2 citations. His work on the 10th Asian-Australasian Conference on Precision Agriculture highlights the transformative potential of technology in smart farming. Lin’s research directly addresses real-world agricultural challenges, offering scalable, robust solutions that enhance efficiency and sustainability. His contributions are pivotal for advancing autonomous systems in agriculture, making him a key figure in the field.

Research Focus

Key Achievements

2
H-Index
3
Papers
6
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
A lightweight and optimized deep learning model for detecting banana bunches and stalks in autonomous harvesting vehicles
3 citations · 2025
📈 Most Prolific Year: 2025 (2 Papers)
🤝 Key Collaborators: 71
🏛 Institutions: National Sun Yat-sen University

Top Papers

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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago