On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks

On Image Classification in Video Analysis of Omnidirectional Apis Mellifera Traffic: Random Reinforced Forests vs. Shallow Convolutional Networks

Omnidirectional honeybee traffic is the number of bees moving in arbitrary directions in close proximity to the landing pad of a beehive over a period of time. Automated video analysis of such traffic is critical for continuous colony health assessment. In our previous research, we proposed a two-ti...

Full description

Bibliographic Details
Main Authors: Vladimir Kulyukin, Nikhil Ganta, Anastasiia Tkachenko
Format: Article
Language:English
Published: MDPI AG 2021-09-01
Series:Applied Sciences
Subjects:
image classification
random forests
convolutional networks
reinforcement learning
random reinforced forests
electronic beehive monitoring
Online Access:https://www.mdpi.com/2076-3417/11/17/8141

Internet

https://www.mdpi.com/2076-3417/11/17/8141

Similar Items