In 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.

在蜂蜜生产中，通过迁徙养蜂可以实现高产。移居的养蜂人将其菌落移至花蜜流量高的地区，从而完成了蜂蜜的生产季节。传统上，移徙的养蜂人根据以前的经验来决定去哪里。如今，鉴于气候条件的迅速变化，可以看出，应该以更多合格的信息而不是经验来决定要访问的区域。在这项研究中，开发了一个基于Web的信息系统，该系统提供有关移民养蜂人要探访的地区的合格信息。信息系统考虑了要访问地区的花蜜流量和气候条件。使用模糊认知图（FCM）评估了这两个重要因素，并开发了智能决策支持系统（IDSS）。在FCM的概念建模阶段对认知图进行了统计分析，发现该图根据多元线性回归解释了82.3％的养蜂潜力。使用IDSS，移徙养蜂人可以从他们将要探访的地区获得蜂蜜的产量（好，中等和差）。还将信息系统与无线传感器网络（WSN）的测量结果和2017年的养蜂人信息进行了比较。结果，发现IDSS的操作精度为79.8％。而且不好），他们可以从将要访问的区域中获取信息。还将信息系统与无线传感器网络（WSN）的测量结果和2017年的养蜂人信息进行了比较。结果，发现IDSS的操作精度为79.8％。而且不好），他们可以从将要访问的区域中获取信息。还将信息系统与无线传感器网络（WSN）的测量结果和2017年的养蜂人信息进行了比较。结果，发现IDSS的操作精度为79.8％。