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Keypoint-Based Bee Orientation Estimation and Ramp Detection at the Hive Entrance for Bee Behavior Identification System

This paper addresses the challenge of accurately estimating bee orientations on beehive landing boards, which is crucial for optimizing beekeeping practices and enhancing agricultural productivity. The research utilizes YOLOv8 pose models, trained on a dataset created using an open-source computer v...

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Principais autores: Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Darius Andriukaitis
Format: Artigo
Sprog:Inglês
Udgivet: MDPI AG 2024-10-01
Serier:Agriculture
Fag:
convolutional neural network
YOLOv8-pose
keypoint detection
beehive
entrance ramp detection
bee orientation
Online adgang:https://www.mdpi.com/2077-0472/14/11/1890
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