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

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dc.authoridalbayrak, ahmet/0000-0003-3884-3313
dc.authoridDURAN, Fecir/0000-0001-7256-5471
dc.authoridALBAYRAK, AHMET/0000-0002-2166-1102
dc.contributor.authorAlbayrak, Ahmet
dc.contributor.authorDuran, Fecir
dc.contributor.authorBayir, Raif
dc.date.accessioned2024-09-29T16:01:13Z
dc.date.available2024-09-29T16:01:13Z
dc.date.issued2021
dc.departmentKarabük Üniversitesien_US
dc.description.abstractIn honey production, high yields can be achieved with migratory beekeeping. Migratory beekeepers complete the honey production season by moving their colonies to areas with high nectar flow. Traditionally migratory beekeepers decide where to go based on their previous experience. Nowadays, given the rapidly changing climatic conditions, it is seen that the regions to be visited should be decided with more qualified information rather than experience. In this study, a web-based information system was developed which provides qualified information about the regions to be visited by migrant beekeepers. The information system takes into account the nectar flow and climatic conditions in the regions to be visited. These two important factors were evaluated using fuzzy cognitive maps (FCM) and an intelligent decision support system (IDSS) was developed. The cognitive map was analysed statistically in the conceptual modelling stage of FCM and it was found that it explained 82.3% of beekeeping potential according to multiple linear regression. Using IDSS, migratory beekeepers can learn the honey yield (good, average, and bad) they can obtain from the regions they will visit. The information system was also compared with the measurement results made with the wireless sensor network (WSN) and the migratory beekeeper information for 2017. As a result, it was found that IDSS operates with 79.8% accuracy.en_US
dc.description.sponsorshipUniversity of Karabuk Scientific Research Unit [KBU-BAP-15/2-DR-025]en_US
dc.description.sponsorshipThis work was done with funding by the University of Karabuk Scientific Research Unit. Project code is KBU-BAP-15/2-DR-025.en_US
dc.identifier.doi10.1080/00218839.2021.1886742
dc.identifier.endpage404en_US
dc.identifier.issn0021-8839
dc.identifier.issn2078-6913
dc.identifier.issue3en_US
dc.identifier.scopus2-s2.0-85101588648en_US
dc.identifier.scopusqualityQ2en_US
dc.identifier.startpage396en_US
dc.identifier.urihttps://doi.org/10.1080/00218839.2021.1886742
dc.identifier.urihttps://hdl.handle.net/20.500.14619/5599
dc.identifier.volume60en_US
dc.identifier.wosWOS:000621294300001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherTaylor & Francis Ltden_US
dc.relation.ispartofJournal of Apicultural Researchen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectinformation systemen_US
dc.subjectfuzzy cognitive mapsen_US
dc.subjectintelligent decision support systemen_US
dc.subjectsustainable beekeepingen_US
dc.titleDevelopment and evaluation of a web-based intelligent decision support system for migratory beekeepers in Turkey to follow nectar resourcesen_US
dc.typeArticleen_US

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