Zhenfang Liu

About

Zhenfang Liu is a researcher at the forefront of precision agriculture and computer vision, whose work is transforming fruit detection in complex orchard environments. Liu’s primary research focuses on developing advanced deep learning models for agricultural robotics, particularly for detecting and localizing fruit under challenging conditions like variable lighting and occlusion. In a landmark 2023 study, Liu introduced R2N-DETR, an improved DEtection Transformer network that, combined with an RGB-D camera, achieves robust detection of multi-size peaches. This work is foundational for automated harvesting and yield estimation. While still early in their career, Liu’s contributions are already gaining recognition, with the paper accumulating citations that signal growing impact in the field. By integrating transformer architectures with real-world sensor data, Liu is bridging the gap between state-of-the-art AI and practical agricultural challenges, offering scalable solutions for the future of smart farming.

Research Focus

Key Achievements

Top Papers

1. 1
   Detection of multi-size peach in orchard using RGB-D camera combined with an improved DEtection Transformer model

   2 citations · 2023

Key Collaborators

Contact & Links