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Feb 11, 2022 · In this paper we propose the use of machine learning techniques to assess the presence of the queen in images of beehive frames.
A honey bee queen plays a vital role in a bee colony. Thus, locating it in a beehive frame is one of the important tasks performed by the beekeepers.
This is the source code and implementation of a method using traditional machine learning in order to autonomously detect and recognize a bee queens and ...
This paper presents an embedded camera module supported by a deep learning algorithm for the process of early detecting of Varroa infestations.
Aug 5, 2023 · Abstract - In recent years, smart technology has become increasingly useful for monitoring honeybee colonies' health and condition in.
Missing: Presence | Show results with:Presence
Mar 27, 2019 · We have considered the issue of finding the queen bee in a hive and decided to make an image recognition algorithm to ease the job of finding the queen bee for ...
Missing: Presence Beehive
This work presents Apis-Prime,a hybrid deep learning model for soft sensing and time series forecasting, to estimate the daily weight variations of honeybee ...
Aug 12, 2024 · We present artificial intelligence, machine-learning-based bee recognition, and tracking systems to assist the researcher in studying the bee's behavior.
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We developed a free software, named DeepBee©, capable of automatically detecting cells in comb images and classifying their contents into seven classes.
Honey Bee Queen Presence Detection from Audio Field Recordings using Summarized Spectrogram and Convolutional Neural Networks. In Lecture Notes in Networks and ...