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). …