Our method evaluates how well automatic devices can classify pollen and other airborne particles in real time. Our goal is to compare different classification systems and understand their strengths and weaknesses. By developing this evaluation process, we aim to enhance the accuracy of bioaerosol forecasts. This research is essential for improving public health and helping people manage allergies more effectively.