| Popis: |
This thesis deals with the improvement of the adopted solutions, dealing with the detection of the bee queen and the calculation of the fall of the Varroa destructor mite. These advanced solutions are implemented in a mobile application for Android devices. Furthermore, this work deals with the investigation of methods for the detection of short-lived and long-lived bees. The theoretical part contains a description of the methods used in the field of computer vision and convolutional neural networks. The practical part describes the environment and technologies, which were used to implement the methods described in the theoretical part, as well as the process of porting the results to the mobile platform. |
