Development and evaluation of a web-based intelligent decision support system for migratory beekeepers in Turkey to follow nectar resources

Author:

Albayrak Ahmet1ORCID,Duran Fecir2ORCID,Bayır Raif3

Affiliation:

1. Department of Computer Technologies, Karadeniz Technical University, Trabzon, Turkey

2. Department of Computer Engineering, Gazi University, Ankara, Turkey

3. Department of Mechatronics Engineering, Karabuk University, Karabuk, Turkey

Funder

the University of Karabuk Scientific Research Unit

Publisher

Informa UK Limited

Subject

Insect Science

Cited by 6 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Digital Apiaries: IOT Solutions for Modern Beekeepers;2024 International Conference on Knowledge Engineering and Communication Systems (ICKECS);2024-04-18

2. GIS-Based Interactive Map to Improve Scheduling Beekeeping Activities;Agriculture;2023-03-13

3. Artificial Intelligence and Economic Development: An Evolutionary Investigation and Systematic Review;Journal of the Knowledge Economy;2023-03-11

4. Application of Wireless Sensor Networks for Advancements in Non Intrusive Precision Beekeeping;2022 IEEE International Conference on Data Science and Information System (ICDSIS);2022-07-29

5. Modeling of migratory beekeeper behaviors with machine learning approach using meteorological and environmental variables: The case of Turkey;Ecological Informatics;2021-12

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