Please use this identifier to cite or link to this item: https://scidar.kg.ac.rs/handle/123456789/13129
Title: PRAĆENJE AKTIVNOSTI PČELA PRIMENOM RAČUNARSKE VIZIJE
Authors: Đurašević, Slađana
Pešović, Uroš
Vujičić, Dejan
Markovic, Dušan
Tanaskovic, Snežana
Tomic, Dalibor
Stevovic, Vladeta
Issue Date: 2021
Abstract: Computer vision as a tool enables automated processing of visual information and provides the possibility of significant improvement of the agricultural production process. This paper presents the results of the application of the YOLO algorithm for monitoring bees at the entrance to the hive. The applied model achieved a detection accuracy of 92.86% and was implemented on a Raspberry PI 4 computer system. This small computer system can be used for further field testing, where the activity of bees at the entrance to the hive is monitored via video recording.
URI: https://scidar.kg.ac.rs/handle/123456789/13129
Type: conferenceObject
DOI: 10.46793/SBT26.107DJ
Appears in Collections:Faculty of Agronomy, Čačak

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