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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.

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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 difficult procedure, and it is not yet fully automated. However, some attempts have been made by the research community. Based on the literature, grapevine pruning automation is approximated with the…

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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.

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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. Esther Salmerón-Manzano)

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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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