Semi-automated image labeling framework for honeybee (apis mellifera) detection and tracking in automated bee hive applications

Has, Alper Emre
Beekeeping is a valuable field for both scientific research and agriculture. While bee keepers have traditionally relied on close observation, often with the help of vets, this method can provide limited empirical results. The high cost of monitoring tools presents a challenge in the beekeeping industry. To address this challenge, we im plement an animal detecting and tracking algorithm as part of a framework that uti lizes low-cost cameras and low-power computational equipment. This leads to the development of a semi-automated Image Labeling Software (ILS) that reduces the workload of labeling for similar frameworks. Our ILS was used in the Beehive 4.0 project, which uses an artificial intelligence-based approach for observing honeybees (Apis mellifera) in a controlled environment. Using a low-resolution camera, we simultaneously record the test group and control group. We trained a standard YOLOv3 on our dataset and use this for object detec tion. To increase accuracy and reduce false positive detections, we also identified the contours of bee clusters. We then used k-means clustering to eliminate redundant detections. This study demonstrates that object detection and tracking on low-cost camera-recorded videos can be improved by using the proposed model in animal keeping. This will enhance labeling quality while reducing the labeling burden in reporting setups when the number of animals is known.


Development of an online support tool for biodiversity training of forest engineers in Turkey
Önal, Özgür Ş; Özden, M. Yaşar; Department of Computer Education and Instructional Technology (2014)
Biodiversity is one of the most important elements of the sustainable forestry practices. However, in Turkey biodiversity is not properly included in the forestry training curriculum and in professional training. There is a gap in the education of forest engineering about biodiversity. This study aims to fill this gap by developing an online support tool targeting dissemination of the biodiversity training with lower cost and time. The primary aim of this study is to explore the potential of web based tool ...
Sakarya, Ufuk; Demirhan, Ismail Hakki; Deveci, Husne Seda; Teke, Mustafa; Demirkesen, Can; Kupcu, Ramazan; Oztoprak, A. Feray; Efendioglu, Mehmet; Simsek, F. Fehmi; Berke, Erdinc; Gurbuz, Sevgi Zubeyde (2016-07-19)
TOBITAK UZAY has conducted a research study on the use of space-based satellite resources for several aspects of agriculture. Especially, there are two precision agriculture related projects: HASSAS (Widespread application of sustainable precision agriculture practices in Southeastern Anatolia Project Region (GAP) Project) and AKTAR (Smart Agriculture Feasibility Project). The HASSAS project aims to study development of precision agriculture practice in GAP region. Multi-spectral satellite imagery and aeria...
Warming Effects on Periphyton Community and Abundance in Different Seasons Are Influenced by Nutrient State and Plant Type: A Shallow Lake Mesocosm Study
Hao, Beibei; Wu, Haoping; Zhen, Wei; Jo, Hyunbin; Cai, Yanpeng; Jeppesen, Erik; Li, Wei (Frontiers Media SA, 2020-4-9)
Periphyton plays an important role in lake ecosystems processes, especially at low and intermediate nutrient levels where periphyton contribution to primary production can be similar to or exceed that of phytoplankton. Knowledge of how periphyton responds to key drivers such as climate change and nutrient enrichment is, therefore, crucial. We conducted a series of mesocosm experiments over four seasons to elucidate the responses of periphyton communities to nutrient (low and high, TN-0.33 mg L-1 TP-7.1 mu g...
Contrasting roles of water chemistry, lake morphology, land-use, climate and spatial processes in driving phytoplankton richness in the Danish landscape
Özkan, Korhan; Sondergaard, Martin; Lauridsen, Torben L.; Liboriussen, Lone; Svenning, Jens-Christian (2013-06-01)
Understanding of the forces driving the structure of biotic communities has long been an important focus for ecology, with implications for applied and conservation science. To elucidate the factors driving phytoplankton genus richness in the Danish landscape, we analyzed data derived from late-summer samplings in 195 Danish lakes and ponds in a spatially-explicit framework. To account for the uneven sampling of lakes in the monitoring data, we performed 1,000 permutations. A random set of 131 lakes was ass...
EwE-F 1.0: an implementation of Ecopath with Ecosim in Fortran 95/2003 for coupling and integration with other models
Akoğlu, Ekin; FACH SALİHOĞLU, BETTİNA ANDREA; Oguz, T.; Solidoro, C. (2015-01-01)
Societal and scientific challenges foster the implementation of the ecosystem approach to marine ecosystem analysis and management, which is a comprehensive means of integrating the direct and indirect effects of multiple stressors on the different components of ecosystems, from physical to chemical and biological and from viruses to fishes and marine mammals. Ecopath with Ecosim (EwE) is a widely used software package, which offers capability for a dynamic description of the multiple interactions occurring...
Citation Formats
A. E. Has, “Semi-automated image labeling framework for honeybee (apis mellifera) detection and tracking in automated bee hive applications,” M.S. - Master of Science, Middle East Technical University, 2023.