Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Lammers, Kyle"'
Fruit harvesting poses a significant labor and financial burden for the industry, highlighting the critical need for advancements in robotic harvesting solutions. Machine vision-based fruit detection has been recognized as a crucial component for rob
Externí odkaz:
http://arxiv.org/abs/2407.04711
Recent advancements in deep learning-based approaches have led to remarkable progress in fruit detection, enabling robust fruit identification in complex environments. However, much less progress has been made on fruit 3D localization, which is equal
Externí odkaz:
http://arxiv.org/abs/2311.08674
Robust and effective fruit detection and localization is essential for robotic harvesting systems. While extensive research efforts have been devoted to improving fruit detection, less emphasis has been placed on the fruit localization aspect, which
Externí odkaz:
http://arxiv.org/abs/2311.02500
Automated apple harvesting has attracted significant research interest in recent years due to its potential to revolutionize the apple industry, addressing the issues of shortage and high costs in labor. One key technology to fully enable efficient a
Externí odkaz:
http://arxiv.org/abs/2303.04884
Publikováno v:
In Computers and Electronics in Agriculture December 2024 227 Part 2
Due to labor shortage and rising labor cost for the apple industry, there is an urgent need for the development of robotic systems to efficiently and autonomously harvest apples. In this paper, we present a system overview and algorithm design of our
Externí odkaz:
http://arxiv.org/abs/2203.00582
Publikováno v:
In Smart Agricultural Technology March 2024 7
There is a growing need for robotic apple harvesting due to decreasing availability and rising cost in labor. Towards the goal of developing a viable robotic system for apple harvesting, this paper presents synergistic mechatronic design and motion c
Externí odkaz:
http://arxiv.org/abs/2010.11296
Robotic apple harvesting has received much research attention in the past few years due to growing shortage and rising cost in labor. One key enabling technology towards automated harvesting is accurate and robust apple detection, which poses great c
Externí odkaz:
http://arxiv.org/abs/2010.09870
Publikováno v:
Journal of Field Robotics; Oct2024, Vol. 41 Issue 7, p2384-2400, 17p