Max Robotics — Global Service Robot Directory + US Certification

About

Hongxing Peng is a leading researcher in agricultural robotics and computer vision, focusing on the automated detection and harvesting of fruit crops. His work addresses the critical challenge of enabling robots to accurately identify and pick fruits in complex, real-world field conditions—where variable lighting, overlapping foliage, and occlusion often confound traditional algorithms. Peng’s major contributions include developing improved deep learning models for fruit detection and maturity assessment. His most cited work, “Litchi detection in the field using an improved YOLOv3 model” (2022, 17 citations), tackles the low recognition rates of litchi-picking robots by enhancing feature extraction under challenging visual conditions. He further advanced the field with “Assessing pineapple maturity in complex scenarios using an improved RetinaNet algorithm” (2023, 7 citations), introducing an attention mechanism to boost accuracy amid environmental variation. Peng has also explored semantic segmentation for robotic harvesting, as in his work on litchi branch segmentation. With a career spanning foundational studies on citrus recognition under occlusion (2014) to cutting-edge neural network architectures, Peng’s research directly impacts the efficiency and reliability of autonomous agricultural systems, making him a key figure in precision agriculture and smart farming.