S. Routray, Renny M. Thakeran, D. Srikanth, P. Preeti, K. Keerthi
{"title":"Statistical analysis and modeling of honeybee foraging networks for apiculture","authors":"S. Routray, Renny M. Thakeran, D. Srikanth, P. Preeti, K. Keerthi","doi":"10.1109/TIAR.2017.8273708","DOIUrl":null,"url":null,"abstract":"Foraging is a typical behavior of honeybees. In fact, it is the main purpose of the lives of the working class honeybees. Foraging is essential for the survival of the honeybees and it has significant impact on the pollination of grains in the foraging environment. In order to have proper pollination as well as healthy production of honey, it is necessary to have an optimized environment of foraging. In this article, we provide the study and analysis of honeybee foraging networks. The main aim of this work is to develop a statistical model for honeybee foraging network distances as measured from the beehives. This can be a potential application in improving the yield in apiculture (cultivation of honeybees). We develop a statistical model for honeybee foraging networks in the similar way they are modeled for communication networks. At present, there is no statistical model available for honeybee foraging network distances. This statistical model for honeybee foraging networks can help the apiculture farmers to improve their yield. From our analysis, we find that GEV distribution is suitable for the statistical modeling of honeybee foraging networks.","PeriodicalId":149469,"journal":{"name":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","volume":"112 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 IEEE Technological Innovations in ICT for Agriculture and Rural Development (TIAR)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TIAR.2017.8273708","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Foraging is a typical behavior of honeybees. In fact, it is the main purpose of the lives of the working class honeybees. Foraging is essential for the survival of the honeybees and it has significant impact on the pollination of grains in the foraging environment. In order to have proper pollination as well as healthy production of honey, it is necessary to have an optimized environment of foraging. In this article, we provide the study and analysis of honeybee foraging networks. The main aim of this work is to develop a statistical model for honeybee foraging network distances as measured from the beehives. This can be a potential application in improving the yield in apiculture (cultivation of honeybees). We develop a statistical model for honeybee foraging networks in the similar way they are modeled for communication networks. At present, there is no statistical model available for honeybee foraging network distances. This statistical model for honeybee foraging networks can help the apiculture farmers to improve their yield. From our analysis, we find that GEV distribution is suitable for the statistical modeling of honeybee foraging networks.