Detail publikace

Using Machine Learning Techniques in the Visual Detection of Starlings in Vineyards

NOVOTNÝ, J.

Originální název

Using Machine Learning Techniques in the Visual Detection of Starlings in Vineyards

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

This project deals with visual detection of starlings. The aim is to create an early warning de-tection system that protects crops from flocks of starlings. This system uses a computer vi-sion and machine learning algorithms. In the first phase, the activity in the vineyard was col-lected. Further, the neural network model using cloud-based AutoML platform was trained. The final system classifies objects into several categories. These categories include individual birds, flocks and various unintended objects such as flies and bees. Overall, the flock detec-tion algorithm achieved 89% accuracy and 94% sensitivity.

Klíčová slova

Starlings detection, Flocks detection, Computer vision, Machine Learning

Autoři

NOVOTNÝ, J.

Vydáno

27. 4. 2021

Nakladatel

Brno University of Technology, Faculty of Electrical Engineering and Communication

Místo

Brno

ISBN

978-80-214-5943-4

Kniha

PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers

Edice

1

Strany od

102

Strany do

105

Strany počet

4

URL

https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf

BibTex

@inproceedings{BUT171587,
  author="Josef {Novotný}",
  title="Using Machine Learning Techniques in the Visual Detection of Starlings in Vineyards",
  booktitle="PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers",
  year="2021",
  series="1",
  pages="102--105",
  publisher="Brno University of Technology, Faculty of Electrical Engineering and Communication",
  address="Brno",
  doi="10.13164/eeict.2021.102",
  isbn="978-80-214-5943-4",
  url="https://www.fekt.vut.cz/conf/EEICT/archiv/sborniky/EEICT_2021_sbornik_2.pdf"
}