PRAĆENJE AKTIVNOSTI PČELA PRIMENOM RAČUNARSKE VIZIJE | Zendy

Slađana Đurašević | Zendy; Uroš Pešović | Zendy; Dejan Vujičic | Zendy; Dušan Marković | Zendy; Snežana Tanasković | Zendy; Dalibor Tomić | Zendy; Vladeta Stevović | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

PRAĆENJE AKTIVNOSTI PČELA PRIMENOM RAČUNARSKE VIZIJE

Author(s) -

Slađana Đurašević,

Uroš Pešović,

Dejan Vujičic,

Dušan Marković,

Snežana Tanasković,

Dalibor Tomić,

Vladeta Stevović

Publication year - 2021

Publication title -

zbornik radova - geografski fakultet univerziteta u beogradu

Language(s) - English

Resource type - Conference proceedings

eISSN - 2334-9441

pISSN - 1450-7552

DOI - 10.46793/sbt26.107dj

Subject(s) - raspberry pi , computer science , field (mathematics) , process (computing) , computer vision , embedded system , operating system , mathematics , pure mathematics , internet of things

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.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research