Přístupnostní navigace
E-přihláška
Vyhledávání Vyhledat Zavřít
Detail publikace
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
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" }