Hailong Rong

About

Hailong Rong is a researcher at the forefront of agricultural robotics and intelligent automation, with a primary focus on computer vision for precision horticulture. His work directly addresses the critical challenge of enabling robots to accurately identify and interact with fruits and vegetables in complex, unstructured natural environments. Rong’s most significant contribution is the development of novel visual identification methods for apples, including a technique that uses image rendering to overcome the difficulties posed by varying growth forms. His influential survey on recognizing fruits and vegetables against similar-color backgrounds, which has garnered 30 citations, systematically analyzes the core problems of uneven lighting, complex backgrounds, and occlusion that plague picking robots. This foundational work, alongside his highly cited 2022 paper on visual identification for apple growth forms (43 citations), has provided key solutions for improving robotic harvesting accuracy. Beyond agriculture, Rong has also contributed to the design of intelligent ropeway robots for power line maintenance and trajectory planning for cooking robots, demonstrating a versatile engineering approach to solving real-world automation problems.

Research Focus

Key Achievements

Top Papers

1. 1
   A visual identification method for the apple growth forms in the orchard

   43 citations · 2022
2. 2
   Recognition of fruits and vegetables with similar‐color background in natural environment: A survey

   30 citations · 2022
3. 3
   An image rendering-based identification method for apples with different growth forms

   13 citations · 2023
4. 4
   Design Method of Intelligent Ropeway Type Line Changing Robot Based on Lifting Force Control and Synovial Film Controller

   4 citations · 2022
5. 5
   Trajectory planning method of the pot in cooking robot

   3 citations · 2010

Key Collaborators

Contact & Links