A Survey of Robotic Harvesting Systems and Enabling Technologies
Overview
Authors
Affiliations
This paper presents a comprehensive review of ground agricultural robotic systems and applications with special focus on harvesting that span research and commercial products and results, as well as their enabling technologies. The majority of literature concerns the development of crop detection, field navigation via vision and their related challenges. Health monitoring, yield estimation, water status inspection, seed planting and weed removal are frequently encountered tasks. Regarding robotic harvesting, apples, strawberries, tomatoes and sweet peppers are mainly the crops considered in publications, research projects and commercial products. The reported harvesting agricultural robotic solutions, typically consist of a mobile platform, a single robotic arm/manipulator and various navigation/vision systems. This paper reviews reported development of specific functionalities and hardware, typically required by an operating agricultural robot harvester; they include (a) vision systems, (b) motion planning/navigation methodologies (for the robotic platform and/or arm), (c) Human-Robot-Interaction (HRI) strategies with 3D visualization, (d) system operation planning & grasping strategies and (e) robotic end-effector/gripper design. Clearly, automated agriculture and specifically autonomous harvesting via robotic systems is a research area that remains wide open, offering several challenges where new contributions can be made.
Gripping Success Metric for Robotic Fruit Harvesting.
Seo D, Oh I Sensors (Basel). 2025; 25(1.
PMID: 39796972 PMC: 11723232. DOI: 10.3390/s25010181.
LESA-Net: Semantic segmentation of multi-type road point clouds in complex agroforestry environment.
Duan Y, Wu D, Meng L, Meng Y, Zhu J, Zhang J Heliyon. 2024; 10(17):e36814.
PMID: 39296190 PMC: 11408797. DOI: 10.1016/j.heliyon.2024.e36814.
Jaramillo-Hernandez J, Julian V, Marco-Detchart C, Rincon J Sensors (Basel). 2024; 24(3).
PMID: 38339654 PMC: 10857338. DOI: 10.3390/s24030937.
Kalopesa E, Gkrimpizis T, Samarinas N, Tsakiridis N, Zalidis G Sensors (Basel). 2023; 23(23).
PMID: 38067909 PMC: 10708745. DOI: 10.3390/s23239536.
Human-Robot Interaction in Agriculture: A Systematic Review.
Benos L, Moysiadis V, Kateris D, Tagarakis A, Busato P, Pearson S Sensors (Basel). 2023; 23(15).
PMID: 37571559 PMC: 10422385. DOI: 10.3390/s23156776.