In order to accurately understand the appearance of the growth process and the corresponding crop information index of flue-cured tobacco in the field, the methods of single plant cultivation, information technology, artificial investigation, fixed leaf listing mark and image processing were adopted. To study the growth duration after transplant and the yield and quality of each effective leaf of flue-cured tobacco. The results showed that the collected images were made into delayed photography according to the frequency of 25 frames per second, and the growth process of tobacco plant (124 d) could be presented in 5 min. The fast-growing stage was the most important time for the rapid growth of the agronomic traits. The growth rate of plant height, stem girth and the maximum leaf area reached or exceeded 1/3; 14 leaves accounted for 50% of the number of germinating leaves in the field, and all of them became effective leaves. The leaf position No.15-32 became 18 effective leaves. The weight of dry leaf increased from the bottom to the top, and the dry weight gradually decreased after the peak value of leaf position No.28, and the change trend of leaf purchase price was basically consistent with the change of leaf weight. The corresponding relationship between tobacco leaf grade and leaf position is CF: No.18-24, BF: 25-32, XF: No.15-17. By using the information platform of “Photographing and Photographing System of Agricultural Intelligent Equipment”, the whole process monitoring and dynamic presentation of the growth and development of flue-cured tobacco in the field can be realized. Through the image processing, the phenological phase image and the corresponding crop information of flue-cured tobacco can be obtained,which provides an effective