The wide use and availability of machine learning and computer vision techniques allows
developing relatively complex monitoring systems in multiple domains. Besides the …

One of the most critical causes of colony collapse disorder in beekeeping is caused by the
Varroa mite. This paper presents an embedded camera module supported by a deep …

Varroa destructor infestation is a major factor leading to the global decline of honeybee
populations. Monitoring the level of Varroa mite infestation in order to take timely control …

Winter is the season of main concern for beekeepers since the temperature, humidity, and
potential infection from mites and other diseases may lead the colony to death. As a …

In an era of rapid climate change and its adverse effects on food production, technological
intervention to monitor pollinator conservation is of paramount importance for environmental …

Honey bees pollinate about one-third of the world's food supply, but bee colonies have
alarmingly declined by nearly 40% over the past decade due to several factors, including …

Abstract Machine vision has produced many helpful image processing techniques in several
fields, such as object detection, classification, and segmentation. Machine vision is an …

Bees, as pollinators and producers of honey and medicinal products, play a crucial role in
human life and environmental sustainability. Emerging Smart Beekeeping technologies …