In this paper, the application of artificial neural network clasifier to resolve pest birds in agricultural areas as a part of a comprehensive system of protection against vermin is demonstrated. Firstly, the idea of the whole system is outlined. Then, the method of recognition is described, the process of artificial neural network design is illustrated and the classifier is validated using data gathered in the fields. Eventually, the results are compared to similar works.
Abstract. The article introduces a new universal software environment for multi agent simulation. The environment presents the model of reality and it is suitable for testing of the existing or new methods, especially in the field of agent coordination, cooperation or collaboration. The software is aimed to be used in any Java based simulation tool and to provide a consistent approach for gathering comparable results among these tools. Moreover, it can be applied in problems such as coordinated decision making, attitude alignment problem, robot position synchronization, dynamic obstacle avoidance and more others. The concept of this tool helps to create programs which are easily transferable and applicable to real robotic platforms.
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