Project#4: POGHAR

Project title: Personalized Optimal Grape Harvest by Autonomous Robot
Budget: €997,292.70 (Public Expense: €931,167.70)
Funded from:Action “RESEARCH – DEVELOP – INNOVATE”, cycle A, Intervention II, Operational Programme “Competitiveness, Entrepreneurship and Innovation”, NSRF (National Strategic Reference Framework) 2014-2020 Project no. Τ1ΕΔΚ-00300
Coordinator & Principal Investigator: Professor Vassilis Kaburlasos
Start – end dates: 28 June 2018 – 27 December 2021


Project’s Publications

  1. Real-time Vineyard Trunk Detection for a Grapes Harvesting Robot via Deep Learning – ICMV, Rome, Italy, November 02-06, 2020- E. Badeka, T. Kalampokas, E. Vrochidou, K. Tziridis, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, Real-time Vineyard Trunk Detection for a Grapes Harvesting Robot via Deep Learning, 13th International Conference on Machine Vision (ICMV 2020), Rome, Italy, November 02-06, 2020
  2. Exploration of viticultural tasks to be performed by autonomous robot: possibilities and limitation – AGROSYM , Jahorina, Bosnia and Herzegovina, 8-11 October, 2020- E. Bouloumpasi, S. Theocharis, A. Karampatea, S. Pavlidis, S. Mamalis, S. Koundouras, T. Merou, E. Vrochidou, T. Pachidis, M. Manios, G. Papakostas, V. Kaburlasos, “Exploration of viticultural tasks to be performed by autonomous robot: possibilities and limitation”, 11th International Scientific Agriculture Symposium (AGROSYM 2020), Jahorina, Bosnia and Herzegovina, 8-11 October,…
  3. Information Management and Monitoring System for a Grapes Harvesting Robot – CIEES 2020, Borovets, Bulgaria, 26-29 November 2020- K. Tziridis, A. Nicolaou, T. Kalampokas, E. Vrochidou, T. Pachidis, G.A. Papakostas and V. G. Kaburlasos, "Information Management and Monitoring System for a Grapes Harvesting Robot", International Scientific Conference of Communications, Information, Electronic and Energy Systems – CIEES 2020, Borovets, Bulgaria, 26-29 November 2020
  4. Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques – IJCNN, Glasgow, United Kingdom, 2020- V. G. Kaburlasos, E. Vrochidou, C. Lytridis, G. A. Papakostas, T. Pachidis, M. Manios, S. Mamalis, T. Merou, S. Koundouras, S. Theocharis, G. Siavalas, C. Sgouros, P. Kyriakidis, "Toward Big Data Manipulation for Grape Harvest Time Prediction by Intervals’ Numbers Techniques," 2020 International Joint Conference on Neural Networks (IJCNN), Glasgow,…
  5. Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing – IS, Varna, Bulgaria, 2020- E. Badeka, E. Vrochidou, K. Tziridis, A. Nicolaou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, "Navigation Route Mapping for Harvesting Robots in Vineyards Using UAV-based Remote Sensing," 2020 IEEE 10th International Conference on Intelligent Systems (IS), Varna, Bulgaria, 2020, pp. 171-177, doi: 10.1109/IS48319.2020.9199958.
  6. Identifying the technological needs for developing a grapes harvesting robot: operations and systems – HAICTA 2020, Thessaloniki, Greece- E. Vrochidou, T. Pachidis, M. Manios, G. A. Papakostas, V. G. Kaburlasos, S. Theocharis, S. Koundouras, K. Karabatea, E. Bouloumpasi, S. Pavlidis, S. Mamalis, T. Merou. “Identifying the technological needs for developing a grapes harvesting robot: operations and systems”, 9th International Conference on Information and Communication Technologies in Agriculture, Food…
  7. Forward kinematic analysis of JACO2 robotic arm towards implementing a grapes harvesting robot – SoftCOM 2020, Hvar, Croatia- T. Pachidis, C. Sgouros, V. G. Kaburlasos, E. Vrochidou, T. Kalampokas, K. Tziridis, A. Nikolaou, G. A. Papakostas, “Forward kinematic analysis of JACO2 robotic arm towards implementing a grapes harvesting robot”, 28th International Conference on Software, Telecommunications and Computer Networks (SoftCOM 2020), Hvar, Croatia, 17-19 September 2020
  8. Harvest Crate Detection for Grapes Harvesting Robot Based on YOLOv3 Model – ICDS 2020, Fez, Morocco- E. Badeka, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “Harvest crate detection for grapes harvesting robot based on YOLOv3 model”, The Fourth International Conference on Intelligent Computing in Data Sciences (ICDS 2020), Fez, Morocco, 21-23 October 2020
  9. Semantic Segmentation of Vineyard Images Using Convolutional Neural Networks – EANN 2020, Halkidiki, Greece- T. Kalampokas, K. Tziridis, A. Nikolaou, E. Vrochidou, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos. “Semantic segmentation of vineyard images using convolutional neural networks”, 21st International Conference on Engineering Applications of Neural Networks (EANN 2020), Porto Carras Grand Resort, Halkidiki, Greece, 5-7 June, 2020. In: L. Iliadis, P. P.…
  10. Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors – ICVS 2019, Thessaloniki, Greece- E.V. Badeka, T. Kalampokas, K. Tziridis, A.P. Nikolaou, E. Vrochidou, E. Mavridou, G.A. Papakostas and T. Pachidis, “Grapes Visual Segmentation for Harvesting Robots Using Local Texture Descriptors”. In 12th International Conference on Computer Vision Systems (ICVS 2019), Thessaloniki, Greece, pp. 98–109, 2019.
  11. Machine vision Systems in Precision Agriculture for Crop Farming – Journal of Imaging 2019, 5(12), 89- E. Mavridou, E. Vrochidou, G. A. Papakostas, T. Pachidis and V. G. Kaburlasos, “Machine vision Systems in Precision Agriculture for Crop Farming”, Journal of Imaging, DOI: 10.3390/jimaging5120089, 2019
  12. Time series classification in cyber-physical system applications by intervals’ numbers techniques – FUZZ-IEEE 2019, New Orleans, Louisiana, USA- Kaburlasos, V.G., Vrochidou, E., Panagiotopoulos, F., Aitsidis, C., Jaki, A.: Time series classification in cyber-physical system applications by intervals’ numbers techniques. In: IEEE International Conference on Fuzzy Systems (FUZZ-IEEE 2019). pp. 125–130, New Orleans, Louisiana, USA (2019).