Original languageEnglish
Title of host publicationIST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings
Number of pages6
Place of PublicationKrakow, Poland
PublisherElectrical Engineering/Electronics, Computer, Communications and Information Technology Association
Publication date14 Dec 2018
Pages1
Article number8577153
ISBN (Print)978-1-5386-6629-6
ISBN (Electronic)978-1-5386-6628-9
DOIs
Publication statusPublished - 14 Dec 2018
Event2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018 - Krakow, Poland
Duration: 16 Oct 201818 Oct 2018

Conference

Conference2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018
CountryPoland
CityKrakow
Period16/10/201818/10/2018

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Robotics
Robots
Docks
Dairies
Farms
Feature extraction
Classifiers
Neural networks
Deep learning

Cite this

Kounalakis, T., Malinowski, M. J., Chelini, L., Triantafyllidis, G. A., & Nalpantidis, L. (2018). A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands. In IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings (pp. 1). [8577153] Krakow, Poland: Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. https://doi.org/10.1109/IST.2018.8577153, https://doi.org/10.1109/IST.2018.8577153
Kounalakis, Tsampikos ; Malinowski, Michal Jerzy ; Chelini, Leandro ; Triantafyllidis, Georgios A. ; Nalpantidis, Lazaros. / A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands. IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Krakow, Poland : Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2018. pp. 1
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title = "A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands",
author = "Tsampikos Kounalakis and Malinowski, {Michal Jerzy} and Leandro Chelini and Triantafyllidis, {Georgios A.} and Lazaros Nalpantidis",
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day = "14",
doi = "10.1109/IST.2018.8577153",
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Kounalakis, T, Malinowski, MJ, Chelini, L, Triantafyllidis, GA & Nalpantidis, L 2018, A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands. in IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings., 8577153, Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, Krakow, Poland, pp. 1, 2018 IEEE International Conference on Imaging Systems and Techniques, IST 2018, Krakow, Poland, 16/10/2018. https://doi.org/10.1109/IST.2018.8577153, https://doi.org/10.1109/IST.2018.8577153

A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands. / Kounalakis, Tsampikos; Malinowski, Michal Jerzy; Chelini, Leandro; Triantafyllidis, Georgios A.; Nalpantidis, Lazaros.

IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Krakow, Poland : Electrical Engineering/Electronics, Computer, Communications and Information Technology Association, 2018. p. 1 8577153.

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

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AU - Kounalakis, Tsampikos

AU - Malinowski, Michal Jerzy

AU - Chelini, Leandro

AU - Triantafyllidis, Georgios A.

AU - Nalpantidis, Lazaros

PY - 2018/12/14

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M3 - Article in proceeding

SN - 978-1-5386-6629-6

SP - 1

BT - IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings

PB - Electrical Engineering/Electronics, Computer, Communications and Information Technology Association

CY - Krakow, Poland

ER -

Kounalakis T, Malinowski MJ, Chelini L, Triantafyllidis GA, Nalpantidis L. A robotic system employing deep learning for visual recognition and detection of weeds in Grasslands. In IST 2018 - IEEE International Conference on Imaging Systems and Techniques, Proceedings. Krakow, Poland: Electrical Engineering/Electronics, Computer, Communications and Information Technology Association. 2018. p. 1. 8577153 https://doi.org/10.1109/IST.2018.8577153, https://doi.org/10.1109/IST.2018.8577153