Smart Placement of Bee Colonies by Image Processing

Honeybees are very important for the environment and economy. However, the number of honey bees around the world is facing a significant decrease, which is a serious threat to the stability and performance of food crops. Beekeeping is of considerable importance by combining the wide economic aspect of honey production and the important environmental services performed by honeybees. In this article, the rapid identification of strategic beekeeping areas is reviewed because it maximizes productivity and reduces the risks of colony losses. Fuzzy logic is an ideal method for problem solving tasks. Because it is specifically designed to handle problems with a high degree of uncertainty. This research is a new method based on GIS maps prepared by UAV and tested to evaluate the suitability of beekeeping in the lands located in Fars province and is conducted without relying on the process of hierarchical analysis - multi-criteria decision making (AHP-MCDM); so it avoids the limitations caused by the technique and the effects of decision makers. In addition, the data used in this paper are completely retrieved from open access sources and show that as a result, this method performs detection with low cost and can be easily applied to large arrays of geographical fields.