To address the significant damage caused by beet armyworm infestations in scallion crops during hot, dry summers, a predictive model has been developed based on meteorological factors. This model enables forecasting of pest outbreaks up to 10 days in advance, with a threshold prediction accuracy exceeding 80%. By integrating these forecasts with comprehensive beet armyworm management strategies, growers can proactively implement targeted control measures, thereby mitigating potential crop losses.