Open AccessPRAĆENJE AKTIVNOSTI PČELA PRIMENOM RAČUNARSKE VIZIJE
Author(s) -
Slađana Đuraševic,
Uroš Pešovic,
Dejan Vujičic,
Dušan Marković,
Snežana Tanaskovic,
Dalibor Tomić,
V. Stevović
Publication year - 2021
Publication title -
zbornik radova
Language(s) - English
Resource type - Conference proceedings
eISSN - 2683-5649
pISSN - 2560-550X
DOI - 10.46793/sbt26.107dj
Subject(s) - raspberry pi , computer science , process (computing) , field (mathematics) , computer vision , embedded system , operating system , mathematics , internet of things , pure mathematics
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.