Έργο#5: Τ.Ε.ΓΕ.Α.

Τίτλος έργου: Τεχνολογία Επιδέξιας Γεωργίας Αμπελώνων (Τ.Ε.ΓΕ.Α.)
Προϋπολογισμός: : €2.869.470,25
Πηγή χρηματοδότησης: Δράση «Ενίσχυση των Υποδομών Έρευνας και Καινοτομίας», Επιχειρησιακό Πρόγραμμα «Ανταγωνιστικότητα, Επιχειρηματικότητα και Καινοτομία (ΕΠΑνΕΚ)», ΕΣΠΑ 2014-2020. Κωδικός έργου MIS 5046047
Επιστημονικός Υπεύθυνος: Καθηγητής Βασίλειος Καμπουρλάζος
Ημερομηνίες έναρξης – λήξης: 20 Νοεμβρίου 2020 – 30 Σεπτεμβρίου 2023


Δημοσιεύσεις

  1. Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots – Robotics 2023, 12(6), 147- Lytridis, C.; Bazinas, C.; Kalathas, I.; Siavalas, G.; Tsakmakis, C.; Spirantis, T.; Badeka, E.; Pachidis, T.; Kaburlasos, V.G. Cooperative Grape Harvesting Using Heterogeneous Autonomous Robots. Robotics 2023, 12, 147. https://doi.org/10.3390/robotics12060147
  2. A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7 – Sensors, vol. 23, no. 19, 8126, 2023- E. Badeka, E. Karapatzak, A. Karampatea, E. Bouloumpasi, I. Kalathas, C. Lytridis, E. Tziolas, V. N. Tsakalidou, V. G. Kaburlasos, “A Deep Learning Approach for Precision Viticulture, Assessing Grape Maturity via YOLOv7”, Sensors, vol. 23, no. 19, 8126, 2023. https://doi.org/10.3390/s23198126 (Special Issue “Intelligent Sensing and Machine Vision in Precision Agriculture”.…
  3. Unmanned aerial vehicles for agricultural automation – Book Chapter in Unmanned Aerial Systems in Agriculture: Eyes Above Fields- G. Siavalas, E. Vrochidou, V. G. Kaburlasos, “Unmanned aerial vehicles for agricultural automation”. In: Unmanned Aerial Systems in Agriculture: Eyes Above Fields, D. Bochtis, A. C. Tagarakis, D. Kateris (Eds.), chapter 6, pp. ?-?, August 11, 2023. Academic Press, Paperback ISBN: 9780323919401, eBook ISBN: 9780323914017
  4. An autonomous multi-agrobot design for skillful vinicultural tasks – OIV 2023, Cadiz, Spain- E. Bouloumpasi, A. Karampatea, E. Karapatzak, S. Theocharis, E. Tziolas, C. Lytridis, T. Pachidis, S. Mamalis, S. Koundouras, V. G. Kaburlasos, “An autonomous multi-agrobot design for skillful vinicultural tasks”, 44th World Congress of Vine and Wine (Theme: Vitiviniculture and Information Technologies) and the 21th General Assembly of the International Organisation…
  5. Meta-statistical deep learning for stochastic time-series prediction in agricultural applications – 2023 INNS Workshop on Deep Learning Innovations and Applications (DLIA), Gold Coast, Queensland, Australia- C. Bazinas, C. Lytridis, V. G. Kaburlasos, “Meta-statistical deep learning for stochastic time-series prediction in agricultural applications”, International Joint Conference on Neural Networks (IJCNN 2023). Gold Coast, Queensland, Australia, 18-23 June 2023. 2023 International Neural Network Society (INNS) Workshop on Deep Learning Innovations and Applications (DLIA)
  6. Skilled agricultural task delivery by a digital twin – IEEE CAI 2023, Santa Clara (Silicon Valley), California, USA- V. G. Kaburlasos, C. Lytridis, G. Siavalas, V. N. Tsakalidou, C. Tsakmakis, I. Kalathas, T. Pachidis, K. Rantos, K. Kalaboukas, “Skilled Agricultural Task Delivery by a Digital Twin,” 2023 IEEE Conference on Artificial Intelligence (CAI), Santa Clara, CA, USA, 2023, pp. 364-365, doi: 10.1109/CAI54212.2023.00159.
  7. Technology-based regional wine development: A multi-purpose agrobot design for grape harvest automation – EuAWE 2023, Chania, Crete, Greece- Karampatea, E. Bouloumpasi, E. Karapatzak, S. Theocharis, T. Gkrimpizis, C. Karadimou, E. Tziolas, S. Pavlidis, S. Koundouras, S. Mamalis, C. Lytridis, T. Pachidis, V. G. Kaburlasos, “Technology-based regional wine development: A multi-purpose agrobot design for grape harvest automation”, European Association of Wine Economists (EuAWE) 2023 Conference. Chania, Crete, Greece, 28-31…
  8. Grape maturity estimation for personalized agrobot harvest by fuzzy lattice reasoning (FLR) on an ontology of constraints – Sustainability, vol. 15, no. 9, 7331, 2023- C. Lytridis, G. Siavalas, T. Pachidis, S. Theocharis, E. Moschou, V. G. Kaburlasos, “Grape maturity estimation for personalized agrobot harvest by fuzzy lattice reasoning (FLR) on an ontology of constraints”, Sustainability, vol. 15, no. 9, 7331, 2023. https://doi.org/10.3390/su15097331 (Special Issue Computational Intelligence for Sustainability. Guest Editors: Zhebin Xue, Xianyi Zeng)…
  9. Assessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices – Sustainability, vol. 15, no. 4, 3866, 2023- E. Tziolas, E. Karapatzak, I. Kalathas, A. Karampatea, A. Grigoropoulos, A. Bajoub, T. Pachidis, V. G. Kaburlasos, “Assessing the economic performance of multipurpose collaborative robots toward skillful and sustainable viticultural practices”, Sustainability, vol. 15, no. 4, 3866, 2023. https://www.mdpi.com/2071-1050/15/4/3866 
  10. Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture – Sustainability, vol. 15, no. 3, 2753, 2023- E. Tziolas, E. Karapatzak, I. Kalathas, C. Lytridis, S. Mamalis, S. Koundouras, T. Pachidis, V. G. Kaburlasos, “Comparative assessment of environmental/energy performance under conventional labor and collaborative robot scenarios in Greek viticulture”, Sustainability, vol. 15, no. 3, 2753, 2023. https://doi.org/10.3390/su15032753 
  11. Coordinated navigation of two agricultural robots in a vineyard: A simulation study – Sensors, vol. 22, no. 23, 9095, 2022- Abstract The development of an effective agricultural robot presents various challenges in actuation, localization, navigation, sensing, etc., depending on the prescribed task. Moreover, when multiple robots are engaged in an agricultural task, this requires appropriate coordination strategies to be developed to ensure safe, effective, and efficient operation. This paper presents…
  12. Considerations for a multi-purpose agrobot design toward automating skillful viticultural tasks: a study in northern Greece vineyards – HAICTA 2022, Athens, Greece- Abstract Seasonal labor shortages in agriculture are experienced throughout Europe and beyond especially, but not only, during the harvest time when the demand for hands is high as well as urgent. Agrobots have been established as a sustainable solution to support these growing demands due to their capacity to work…
  13. Variable selection for the prediction of TSS, pH and TA of intact berries of Thompson seedless grapes from their NIS reflection – SoftCOM 2022, Split, Croatia-
  14. Fuzzy lattice reasoning (FLR) for decision-making on an ontology of constraints toward agricultural robot harvest – FLINS 2022 on Machine learning, Multi agent and Cyber physical systems, Tianjin, China (Best Paper Award)-
  15. An Overview of End Effectors in Agricultural Robotic Harvesting Systems – Agriculture 2022, 12(8), 1240- Abstract In recent years, the agricultural sector has turned to robotic automation to deal with the growing demand for food. Harvesting fruits and vegetables is the most labor-intensive and time-consuming among the main agricultural tasks. However, seasonal labor shortage of experienced workers results in low efficiency of harvesting, food losses,…
  16. Robot intelligence technology for skillful viniculture based on the lattice computing paradigm – ROBOTMEET2022, Edinburgh, Scotland- Download ROBOTMEET2022_KaburlasosSlides.pdf Download ROBOTMEET2022_KaburlasosVideo.mp4 Citation V. G. Kaburlasos, “Robot intelligence technology for skillful viniculture based on the lattice computing paradigm”, International Meet & Expo on Robot Intelligence Technology and Applications (ROBOTMEET2022), Edinburgh, Scotland, 18-20 August 2022.
  17. Grapevine Plant Image Dataset for Pruning – Data 2022, 7(8), 110- Abstract Grapevine pruning is conducted during winter, and it is a very important and expensive task for wine producers managing their vineyard. During grapevine pruning every year, the past year’s canes should be removed and should provide the possibility for new canes to grow and produce grapes. It is a…
  18. Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions – NAFIPS 2022 Conference, Halifax, Nova Scotia, Canada- V. G. Kaburlasos, C. Bazinas, E. Vrochidou, E. Karapatzak, “Agricultural yield prediction by difference equations on data-induced cumulative possibility distributions”, 2022 North American Fuzzy Information Processing Society (NAFIPS 2022) Conference, Halifax, Nova Scotia, Canada, 31 May - 3 June 2022.
  19. An overview of cooperative robotics in agriculture – Agronomy 2021, vol. 11, iss. 9, 1818, 2021- C. Lytridis, V. G. Kaburlasos, T. Pachidis, M. Manios, E. Vrochidou, T. Kalampokas, S. Chatzistamatis, “An overview of cooperative robotics in agriculture”, Agronomy 2021, vol. 11, iss. 9, 1818; https://www.mdpi.com/2073-4395/11/9/1818 (Open Access). (Special Issue on “Worldwide Trends in Agronomy Research: Bibliometric Studies”. Guest Editors: Prof. Dr. Francisco Manzano Agugliaro, Dr.…
  20. Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach – ITISE 2021, Gran Canaria, Spain, 19-21 July 2021- Bazinas, C.; Vrochidou, E.; Lytridis, C.; Kaburlasos, V.G. Time-Series of Distributions Forecasting in Agricultural Applications: An Intervals’ Numbers Approach. Eng. Proc. 2021, 5, 12. https://doi.org/10.3390/engproc20210050012
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