[HTML][HTML] A framework for better sensor-based beehive health monitoring
Hive bees provide essential pollination services to human agriculture. Managed honey bees
in particular pollinate many crops, but also create honey and other bee products that are …
in particular pollinate many crops, but also create honey and other bee products that are …
Automatic detection of white blood cancer from bone marrow microscopic images using convolutional neural networks
Leukocytes, produced in the bone marrow, make up around one percent of all blood cells.
Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the …
Uncontrolled growth of these white blood cells leads to the birth of blood cancer. Out of the …
Automated monitoring and analyses of honey bee pollen foraging behavior using a deep learning-based imaging system
Pollen foraging efficiency provides vital information for the behavioral research on honey
bees. The pollen production of beehives can be measured by manually weighing the pollen …
bees. The pollen production of beehives can be measured by manually weighing the pollen …
The Caltech Fish Counting dataset: a benchmark for multiple-object tracking and counting
Abstract We present the Caltech Fish Counting Dataset (CFC), a large-scale dataset for
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …
detecting, tracking, and counting fish in sonar videos. We identify sonar videos as a rich …
Machine learning and computer vision techniques in continuous beehive monitoring applications: A survey
The wide use and availability of machine learning and computer vision techniques allows
developing relatively complex monitoring systems in multiple domains. Besides the …
developing relatively complex monitoring systems in multiple domains. Besides the …
A computer vision system to monitor the infestation level of Varroa destructor in a honeybee colony
K Bjerge, CE Frigaard, PH Mikkelsen… - … and Electronics in …, 2019 - Elsevier
This paper presents a portable computer vision system, that is able to monitor the infestation
level of the Varroa destructor mite in a beehive by recording a video sequence of live …
level of the Varroa destructor mite in a beehive by recording a video sequence of live …
Visual diagnosis of the varroa destructor parasitic mite in honeybees using object detector techniques
The Varroa destructor mite is one of the most dangerous Honey Bee (Apis mellifera)
parasites worldwide and the bee colonies have to be regularly monitored in order to control …
parasites worldwide and the bee colonies have to be regularly monitored in order to control …
A method for detection of small moving objects in UAV videos
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 …
monitoring of flying insects, studying their foraging behavior, using insect pollinators to …
Acoustic Scene Classification and Visualization of Beehive Sounds Using Machine Learning Algorithms and Grad‐CAM
J Kim, J Oh, TY Heo - Mathematical Problems in Engineering, 2021 - Wiley Online Library
Honeybees play a crucial role in the agriculture industry because they pollinate
approximately 75% of all flowering crops. However, every year, the number of honeybees …
approximately 75% of all flowering crops. However, every year, the number of honeybees …
Deepbees-building and scaling convolutional neuronal nets for fast and large-scale visual monitoring of bee hives
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 …
well as to pollinator-dependent industries. Factor analysis and preventive measures are …