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...

Täydet tiedot

Bibliografiset tiedot

Päätekijät:	Tomyslav Sledevič, Artūras Serackis, Dalius Matuzevičius, Darius Plonis, Darius Andriukaitis
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	MDPI AG 2024-10-01
Sarja:	Agriculture
Aiheet:	convolutional neural network YOLOv8-pose keypoint detection beehive entrance ramp detection bee orientation
Linkit:	https://www.mdpi.com/2077-0472/14/11/1890
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