TY - JOUR
T1 - Deep learning in produce perception of harvesting robots
T2 - A comprehensive review
AU - Jin, Yuhao
AU - Xia, Xiaoyu
AU - Gao, Qizhong
AU - Yue, Yong
AU - Lim, Eng Gee
AU - Wong, Prudence
AU - Ding, Weiping
AU - Zhu, Xiaohui
N1 - Publisher Copyright:
© 2025 The Authors
PY - 2025/4
Y1 - 2025/4
N2 - In recent years, the global demand for produce has surged, alongside labor shortages, driving the development of agricultural automation, particularly in harvesting robots. Deep learning-based computer vision algorithms have become key to produce perception, demonstrating significant potential. We systematically review the current application of deep learning in produce perception for harvesting robots, providing an in-depth analysis of existing public datasets, with a focus on 2D produce recognition and 3D produce localization. Furthermore, we review and analyze the existing algorithms, highlighting their limitations and challenges. In addition, we explore future research directions of deep learning in produce perception, aiming to promote the continued advancement and innovation of technologies in this area.
AB - In recent years, the global demand for produce has surged, alongside labor shortages, driving the development of agricultural automation, particularly in harvesting robots. Deep learning-based computer vision algorithms have become key to produce perception, demonstrating significant potential. We systematically review the current application of deep learning in produce perception for harvesting robots, providing an in-depth analysis of existing public datasets, with a focus on 2D produce recognition and 3D produce localization. Furthermore, we review and analyze the existing algorithms, highlighting their limitations and challenges. In addition, we explore future research directions of deep learning in produce perception, aiming to promote the continued advancement and innovation of technologies in this area.
KW - Computer vision
KW - Deep learning
KW - Harvesting robots
KW - Produce perception
KW - Smart farming
UR - http://www.scopus.com/inward/record.url?scp=105000034567&partnerID=8YFLogxK
U2 - 10.1016/j.asoc.2025.112971
DO - 10.1016/j.asoc.2025.112971
M3 - Review article
AN - SCOPUS:105000034567
SN - 1568-4946
VL - 174
JO - Applied Soft Computing
JF - Applied Soft Computing
M1 - 112971
ER -