Linyue Tang
Papers
2
Total Citations
144
H-Index
2
About
Linyue Tang is a leading researcher in agricultural robotics and computer vision, with a specific focus on intelligent fruit recognition and harvesting systems. Her work addresses the critical challenge of automating litchi picking in complex, natural environments. Tang’s major contributions include developing robust algorithms for detecting litchi clusters and calculating precise picking points under low-light conditions, as demonstrated in her highly cited 2017 paper on nocturnal recognition (93 citations). She further advanced the field by introducing an improved Linear Discriminant Analysis (LDA) classifier for identifying green litchi against dense foliage, a method that significantly enhances accuracy in natural settings (51 citations). These innovations are foundational for the development of autonomous harvesting robots, reducing labor dependency and improving efficiency in tropical fruit agriculture. Tang’s research is notable for its practical application in challenging real-world conditions, bridging the gap between theoretical computer vision and deployable agricultural technology. Her work continues to influence the design of vision-guided robotic systems for specialty crops.
Research Focus
Key Achievements
Top Papers
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