Bemisia tabaci are one of the agricultural pests causing damage to valuable crops such as tomatoes, peppers, eggplant, cucumbers, and other vegetables.
Bemisia tabaci are classified based on their biotypes having different pesticide resistance. Our research group established a biotype classifier by using the acoustic method. On the other hand, it was challenging to record sounds of
Bemisia tabaci quickly in a greenhouse because the sounds of
Bemisia tabaci are very small and a measurement space with low noise was mainly used. In this research, we clarified the characteristics of noise in a greenhouse and constructed a prototype for recording sounds of
Bemisia tabaci quickly in such environments. We also evaluated the performance of the prototype at a specific greenhouse by experiments. The obtained results suggest that the proposed system can reduce noise in the greenhouse and can record sounds of
Bemisia tabaci successfully.
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