Deep Learning-Based Portable Image Analysis System for Real-Time Detection of Vespa velutina

MS Jeon, Y Jeong, J Lee, SH Yu, S Kim, D Kim… - Applied Sciences, 2023 - mdpi.com
Honeybees pollinate over 75% of the total food resources produced annually, and they
produce valuable hive products, such as bee pollen, propolis, and royal jelly. However …

Application of wireless sensor networks for advancements in non intrusive precision beekeeping

R Anaghaa, H Guha, CG Raghavendra… - … Conference on Data …, 2022 - ieeexplore.ieee.org
Honey bees play a vital role in many ecological and environmental processes which are of
immense value to all life forms. In the last fifty years, their contribution to the pollination of …

A Deep Ensemble Learning Approach for Venomous & Non-Venomous Serpents and Insect Species Identification

BS Samarasinghe, KBN Lakmali - 2023 3rd Asian Conference …, 2023 - ieeexplore.ieee.org
In recent years snake and insect attacks have become a huge problem worldwide. Most
species have similar colors and shapes, which makes it hard to tell them apart using typical …

A Multielement Recognition Algorithm Based on Deep Learning

H Zhang, Y Guo, F Qi, T Lv… - 2023 IEEE 6th …, 2023 - ieeexplore.ieee.org
With the development of deep learning, the classification and recognition of wasps has
become one of the hot issues in research. The paper based on the text and images in the …

A framework for predicting the location of Vespa mandarinia nests via deep learning approach

W Guangnan, W Zhenyou - 2022 IEEE Conference on …, 2022 - ieeexplore.ieee.org
Vespa mandarinia are capable of attacking other bees and humans and causing death.
Thus, it is crucial to accurately identify their nest locations. In this paper, an autonomous …