Design, integration, and field evaluation of a robotic apple harvester

By Abhisesh Silwal, J. Davidson, Manoj Karkee, C. Mo, Qin Zhang, Karen Lewis. J. Field Robotics, 2017

356 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Development of a sweet pepper harvesting robot (2020, methodology): “An apple harvester (Silwal et al., 2017) tested in a commercial orchard in Washington State evaluated performance for 150 fruits with no details on how many trees this included and/or timing of the tests.”
IoT, Big Data, and Artificial Intelligence in Agriculture and Food Industry (2020, unknown): “Silwal, et al. [47] reported the design, integration, and field evaluation of a robotic apple harvester able to detect and pick 84% of the apples with an average picking time of 6 seconds per fruit.”
System Design and Control of an Apple Harvesting Robot (2020, unknown): “For both robotic systems reported in [12] and [15], a 7 DOF manipulator is required to approach the fruit.”
An autonomous strawberry‐harvesting robot: Design, development, integration, and field evaluation (2019, methodology): “, 2017) or without adding the perception time (Silwal et al., 2017).”
Recognition and Localization Methods for Vision-Based Fruit Picking Robots: A Review (2020, background): “Machine vision-based harvesting robots should have the ability to sense and adapt to diﬀerent crop types or environmental changes (Zhao et al., 2016; Silwal et al., 2017), collect information, detect targets, and learn autonomously.”