Abstract
We present the design of a Varroa destructor trap for beekeeping by using pheromones. The trap is to kill the main enemy of the European or North American honey bee, the so called Varroa mite or Varroa destructor, with vaporized pheromones. The literature review gives a summary about the actual methods for Varroa treatment. Furthermore, it includes methods which can be used to build up a Varroa trap system with a vaporizer and high voltage grid and some additional parts. First of all, an enclosure where the vaporizer and the high voltage grid can be installed, has to be designed and the high voltage grid installed. To use the high voltage grid, a circuit which is the source for the high voltage has to be designed. After this is done, a vaporizer has to be designed and a suitable temperature control for vaporizing the pheromones is developed. This is done with a negative temperature coefficient (NTC) resistor, a measurement circuit for the NTC resistor, the analog-to-digital converter (ADC) of a microcontroller and a switching circuit for the heating element. The last step includes the design of a PCB and the implementation of all software routines to get a working system. All necessary hardware parts are combined on a single PCB and all software parts are implemented and programmed into the microcontroller. Furthermore, this system is tested to ensure the vaporizing and the high voltage grid is working properly. The tests have shown that the vaporizer and therefore the temperature control performs as required. In addition, the high voltage generation and high voltage grid had been verified which means the desired functionality of these parts is also given. All in all, the system is a well working prototype which can be used for beekeeping.
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Meister, J., Yeap, K.H., Goh, M.W.C., Nisar, H., Fischer, J., Meier, H. (2022). The Design of a Pheromone-Based Robotic Varroa Trap for Beekeeping Applications. In: Nedjah, N., Abd El-Latif, A.A., Gupta, B.B., Mourelle, L.M. (eds) Robotics and AI for Cybersecurity and Critical Infrastructure in Smart Cities. Studies in Computational Intelligence, vol 1030. Springer, Cham. https://doi.org/10.1007/978-3-030-96737-6_2
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