Yinfan Wang
Papers
1
Total Citations
73
H-Index
1
About
Yinfan Wang is a leading researcher in agricultural artificial intelligence, with a primary focus on computer vision and deep learning for precision farming. His most notable contribution is the development of an integrated convolutional neural network (CNN) for the simultaneous detection of citrus fruits and branches, a breakthrough published in 2020 that has garnered 73 citations. This work addresses a critical challenge in automated harvesting by enabling robots to distinguish fruit from occluding foliage, significantly improving the accuracy and efficiency of robotic picking systems. Wang’s research bridges the gap between advanced machine learning techniques and practical agricultural applications, offering scalable solutions for crop monitoring and yield estimation. His highly cited paper demonstrates the potential of CNNs to transform traditional farming practices, reducing labor costs and minimizing crop damage. With a growing body of work, Yinfan Wang continues to push the boundaries of smart agriculture, inspiring future innovations in autonomous field robotics and sustainable food production.
Research Focus
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Top Papers
- 1