T. Pachidis Archives - Page 3 of 8 - Εργαστήριο ΑΜΑ

An Overview of End Effectors in Agricultural Robotic Harvesting Systems – Agriculture 2022, 12(8), 1240

17/08/2022

2022, Journals, Publications, Tegea

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, and quality deterioration. Therefore, research efforts focus on the automation of manual harvesting operations. Robotic manipulation of delicate products in unstructured environments is challenging. The development of suitable end effectors…

Δείτε περισσότερα από τους συγγραφείς:

E. Vrochidou I. Kalathas T. Gkrimpizis T. Pachidis V. G. Kaburlasos V.N. Tsakalidou

Grapevine Plant Image Dataset for Pruning – Data 2022, 7(8), 110

09/08/2022

humain

2022, Journals, Publications, Tegea

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…

Δείτε περισσότερα από τους συγγραφείς:

K. D. Apostolidis T. Kalampokas T. Pachidis V. G. Kaburlasos

A review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation – EFITA International Conference 2021

12/11/2021

humain

2021, Publications, ΕΒΤΑΡ

E. Vrochidou, C. Bazinas, G. A. Papakostas, T. Pachidis, V. G. Kaburlasos, “A review of the state-of-art, limitations and perspectives of machine vision for grape ripening estimation”, 13th EFITA (European Federation for Information Technology in Agriculture, Food and Environment) International Conference, 25-26 May 2021. In: MDPI Engineering Proceedings 2021, 9 (1), 2; https://www.mdpi.com/2673-4591/9/1/2

Δείτε περισσότερα από τους συγγραφείς:

C. Bazinas E. Vrochidou G. A. Papakostas T. Pachidis V. G. Kaburlasos

Grape stem detection using regression convolutional neural networks – Computers and Electronics in Agriculture, vol. 186, p. 106220, 2021

02/06/2021

humain

2021, Journals, Publications, ΕΒΤΑΡ

Τ. Kalampokas, Ε. Vrochidou, G. A. Papakostas, T. Pachidis, and V. G. Kaburlasos, “Grape stem detection using regression convolutional neural networks,” Comput. Electron. Agric., vol. 186, p. 106220, Jul. 2021, doi: 10.1016/j.compag.2021.106220.

Δείτε περισσότερα από τους συγγραφείς:

E. Vrochidou G. A. Papakostas T. Kalampokas T. Pachidis V. G. Kaburlasos

An Autonomous Grape-Harvester Robot: Integrated System Architecture – Electronics, vol. 10, no. 9, p. 1056

06/05/2021

humain

2021, Journals, Publications, ΕΒΤΑΡ

E. Vrochidou, K. Tziridis, A. Nikolaou, T. Kalampokas, G. A. Papakostas, T. P. Pachidis, S. Mamalis, S. Koundouras, V G. Kaburlasos, “An autonomous grape-harvester robot: integrated system architecture”, Electronics 2021, 10(9), 1056; https://doi.org/10.3390/electronics10091056 (Special Issue on Control of Mobile Robots – Section “Systems & Control Engineering”. Guest Editor: Vladan Papic).

Δείτε περισσότερα από τους συγγραφείς:

A. Nikolaou E. Vrochidou G. A. Papakostas K. Tziridis S. Koundouras S. Mamalis T. Kalampokas T. Pachidis V. G. Kaburlasos