Pei-Yi Lin
Papers
1
Total Citations
52
H-Index
1
About
Pei-Yi Lin is a researcher whose work sits at the dynamic intersection of precision agriculture, computer vision, and unmanned aerial vehicle (UAV) technology. Her most recognized contribution, the 2021 paper "Fast Detection and Location of Longan Fruits Using UAV Images," has garnered 52 citations, reflecting its significance within the agricultural remote sensing and automated crop monitoring communities. This work addresses a critical challenge in modern horticulture — the efficient, accurate, and scalable detection of fruit crops from aerial imagery — offering practical solutions that can reduce labor costs and improve harvest planning for longan growers. By leveraging UAV-captured imagery alongside fast detection algorithms, Lin's research demonstrates how cutting-edge machine learning and image processing techniques can be meaningfully applied to real-world agricultural problems in tropical and subtropical farming contexts. Her contributions highlight a growing movement toward smart farming and AI-driven agricultural automation, making her work particularly relevant for researchers and students interested in food security, precision agriculture, and applied computer vision. Lin's focused yet impactful body of work positions her as a notable contributor to the field of intelligent agricultural systems.
Research Focus
Key Achievements
Top Papers
- 1Fast detection and location of longan fruits using UAV images52 citations · 2021