To improve the accuracy of intelligent identification and pest monitoring of storage pests，and to guide the effective prevention and control measures for pests in tobacco storage，a whole-life history visualization is proposed for the real-time observation and behavioral quantification of the tobacco beetle.The biological characteristics of the egg ，larval ，pupal ，and adult stages of the tobacco beetle （Lasioderma serricorne F.） were quantified through the visualization of its entire life cycle.The objective of the study was to examine the habits，activity rhythms，and environmental influences on adult behaviors.The experimental process demonstrated that visualizing the entire life history of tobacco beetles enhanced the ability to observe these insects，and the quantitative data of different insect stages were obtained without disrupting the activity of the tobacco beetles.The results indicate that peak activity for adult tobacco beetles occurs at approximately 1 a.m，while peak egg production is observed on the 6th day after eclosion.The adults exhibited a tendency to lay eggs on cards and light sources of various colors，showing significant differences in their proefernces.The effectiveness of the trap equipped with a green light source has been significantly enhanced，with the capture rate increasing by a factor of 2.03 compared with the reference trap.The quantification of the entire life history and application model can be used for several purposes，including pest forecasting，determing the optimal timing of control measures，and selecting the most suitable control methods，pesticide types，and dosages based on the dynamic changes of the pest populations.The results indicate that the full life history visualization method can accurately identify tobacco beetles，significantly improve the accuracy of pest detection，and provide better guidance for the prevention and control of storage pests.