Publication detail

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

NOVOTNÝ, J.

Original Title

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

Type

conference paper

Language

English

Original Abstract

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.

Keywords

Starlings detection, Flocks detection, Computer vision, Machine Learning

Authors

NOVOTNÝ, J.

Released

27. 4. 2021

Publisher

Brno University of Technology, Faculty of Electrical Engineering and Communication

Location

Brno

ISBN

978-80-214-5943-4

Book

PROCEEDINGS II OF THE 27TH STUDENT EEICT 2021 selected papers

Edition

1

Pages from

102

Pages to

105

Pages count

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"
}