From cells in tissue, to bird flocks, to human crowds, living systems display a stunning variety
of collective behaviors. Yet quantifying such phenomena first requires tracking a significant …

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

Abstract The European Parliament requested EFSA to develop a holistic risk assessment of
multiple stressors in honey bees. To this end, a systems‐based approach that is composed …

Bees play a crucial role in human food production and ecosystem maintenance. However,
they face a global crisis characterized by significant population decline, including colony …

Fruit quality is an important aspect in determining the consumer preference in the supply
chain. Thermal imaging was used to determine different pineapple varieties according to the …

Four models based on convolutional neural networks were used to investigate whether
image recognition techniques applied to honey bee wings could be used to discriminate …

Honey bee colonies have shown abnormal mortality rates over the last decades. Colonies
are exposed to biotic and abiotic stressors including landscape changes caused by human …

Honey bees are not only the fundamental producers of honey but also the leading
pollinators in nature. While honey bees play such a vital role in the ecosystem, they also …

Visual classification of pollen grains is crucial for various agricultural applications,
particularly for the protection, monitoring, and tracking of flora to preserve the biome and …

Honey bees play an important role in agricultural landscapes by providing pollination
services. Throughout the season, colonies increase their population and collect resources …