Development of a sweet pepper harvesting robot B Arad, J Balendonck, R Barth, O Ben‐Shahar, Y Edan, T Hellström, ... Journal of Field Robotics, 2020 | 412 | 2020 |
Performance Evaluation of a Harvesting Robot for Sweet Pepper EJH C. Wouter Bac, Jochen Hemming, B.A.J. van Tuijl, Ruud Barth, Ehud Wais Journal of Field Robotics, 1-17, 2017 | 248* | 2017 |
Data synthesis methods for semantic segmentation in agriculture: A Capsicum annuum dataset R Barth, J IJsselmuiden, J Hemming, EJ Van Henten Computers and Electronics in Agriculture 144, 284-296, 2018 | 187 | 2018 |
Design of an eye-in-hand sensing and servo control framework for harvesting robotics in dense vegetation R Barth, J Hemming, EJ van Henten Biosystems Engineering 146, 71-84, 2016 | 138 | 2016 |
A robot for harvesting sweet-pepper in greenhouses J Hemming, CW Bac, BAJ van Tuijl, R Barth, J Bontsema, EJ Pekkeriet, ... Proceedings of the International Conference of Agricultural Engineering, 2014 | 123 | 2014 |
Synthetic bootstrapping of convolutional neural networks for semantic plant part segmentation R Barth, J IJsselmuiden, J Hemming, EJ Van Henten Computers and Electronics in Agriculture, 2017 | 94 | 2017 |
Machine vision for a selective broccoli harvesting robot PM Blok, R Barth, W van den Berg IFAC-PapersOnLine 49 (16), 66-71, 2016 | 57 | 2016 |
Angle estimation between plant parts for grasp optimisation in harvest robots R Barth, J Hemming, EJ Van Henten Biosystems Engineering 183, 26-46, 2019 | 46 | 2019 |
Using ROS for agricultural robotics-design considerations and experiences R Barth, J Baur, T Buschmann, Y Edan, T Hellström, T Nguyen, ... Proceedings of the Second International Conference on Robotics and …, 2014 | 24 | 2014 |
Optimising Realism of Synthetic Agricultural Images using Cycle Generative Adversarial Networks R Barth, JMM IJsselmuiden, J Hemming, EJ van Henten Proceedings of the IEEE IROS workshop on Agricultural Robotics, 18-22, 2017 | 21 | 2017 |
Improved Part Segmentation Performance by Optimising Realism of Synthetic Images using Cycle Generative Adversarial Networks R Barth, J Hemming, EJ van Henten arXiv preprint arXiv:1803.06301, 2018 | 18 | 2018 |
Vision principles for harvest robotics: sowing artificial intelligence in agriculture R Barth Wageningen University, 2018 | 15 | 2018 |
Operational flow of an autonomous sweetpepper harvesting robot O Ringdahl, P Kurtser, R Barth, Y Edan The 5th Israeli Conference on Robotics 2016, 13-14 April 2016. Air Force …, 2016 | 4 | 2016 |
Creating Resilience in Pigs Through Artificial InteLligence (CuRly Pig Tail) M Timmerman, M Kluivers-Poodt, I Reimert, HM Vermeer, R Barth, ... Proceedings of the 7th International Conference on the Assessment of Animal …, 2017 | 1 | 2017 |
Optimising realism of synthetic images using cycle generative adversarial networks for improved part segmentation EH Ruud Barth, Jochen Hemming Computers and Electronics in Agriculture Volume 173 (June 202), 2020 | | 2020 |
Large Synthetic Datasets for Improved Deep Learning R Barth Scientific Symposium FAIR Data Sciences for Green Life Sciences, 1-1, 2018 | | 2018 |
Artificial 3D pepper model for harvesting robot R Barth In Greenhouses: the international magazine for greenhouse growers 6 (3), 47-47, 2017 | | 2017 |
SWEEPER Sweet Pepper Harvesting Robot: Image database# 2 B Arad, P Kurtser, S Givati, O Ben-Shahar, R Barth, J Hemming Horizon 2020, 2016 | | 2016 |