Monitoring animals in their natural habitat is essential for advancement of animal
behavioural studies, especially in pollination studies. Non-invasive techniques are preferred …

Detection of small moving objects is an important research area with applications including
monitoring of flying insects, studying their foraging behavior, using insect pollinators to …

Bird behavior reflects its healthy and the habitat condition in which the bird's posture
recognition is the basis of bird behavior research. This paper proposes an end-to-end bird …

The decline of bee populations is a global trend and a severe threat to the ecosystem as
well as to pollinator-dependent industries. Factor analysis and preventive measures are …

The article presents the classification of images with pollen bearing bees using
convolutional neural network (CNN). The aim is to find out a sufficient configurations of CNN …

Bees play a critical role in pollination and food production, so their preservation is essential,
particularly highlighting the importance of detecting diseases in bees early. The Varroa …

Honey is produced exclusively by honeybees and stingless bees which both are well
adapted to tropical and subtropical regions such as Malaysia. Stingless bees are known for …

This paper presents an approach to bee detection in video streams using a neural network
classifier. We describe the motivation for our research and the methodology of data …

In this work, we propose a ladybird beetle detector based on a deep learning classifier and
the weighted Hausdorff distance as a loss function. The detector was trained and validated …

Bee counting is an essential task for monitoring the health of bee colonies. However, it is
challenging, as bees are often small and difficult to see. One approach to bee counting is …