59 citations · 80 across the 8 of their papers we have counts for
6 papers · 1 filter
Raspberry Pi Bee Health Monitoring Device
Jakub Nevlacil, Simon Bilik, Karel Horak
A declining honeybee population could pose a threat to a food resources of the whole world one of the latest trend in beekeeping is an effort to monitor a health of the honeybees u…
Towards Phytoplankton Parasite Detection Using Autoencoders
Simon Bilik, Daniel Batrakhanov, Tuomas Eerola +9
Phytoplankton parasites are largely understudied microbial components with a potentially significant ecological impact on phytoplankton bloom dynamics. To better understand their i…
Machine Learning and Computer Vision Techniques in Continuous Beehive Monitoring Applications: A survey
Simon Bilik, Tomas Zemcik, Lukas Kratochvila +4
Wide use and availability of the machine learning and computer vision techniques allows development of relatively complex monitoring systems in many domains. Besides the traditiona…
Feature space reduction as data preprocessing for the anomaly detection
Simon Bilik, Karel Horak
In this paper, we present two pipelines in order to reduce the feature space for anomaly detection using the One Class SVM. As a first stage of both pipelines, we compare the perfo…
SIFT and SURF based feature extraction for the anomaly detection
Simon Bilik, Karel Horak
In this paper, we suggest a way, how to use SIFT and SURF algorithms to extract the image features for anomaly detection. We use those feature vectors to train various classifiers…
Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques
Simon Bilik, Lukas Kratochvila, Adam Ligocki +5
The Varroa destructor mite is one of the most dangerous Honey Bee (Apis mellifera) parasites worldwide and the bee colonies have to be regularly monitored in order to control its s…