Research on the Estimation Model of Seedling Sowing Period Based on Different Altitude

Abstract

The selection of sowing date is a key link in tobacco planting, and an appropriate sowing date can affect the survival rate and agronomic traits of tobacco plants. This study collected data on tobacco seedlings during the sowing and transplanting periods in the southwestern region of China, combined with altitude gradient data of the planting area. Time series analysis was used to construct a tobacco seedling sowing period estimation model and establish an application platform. The model was validated by comparing the survival rate of transplanting. The results indicate that the proposed LSTM model has an R2 of 0.893, a MAE of 1.796, an RSME of 2.221, and a validation model accuracy of 93.3%. The research results provide scientific sowing time basis for tobacco growers in different altitude regions, and results provide scientific sowing time basis for tobacco growers in different altitude regions, and offer suggestions for optimizing tobacco planting management and promoting the sustainable development of the tobacco industry.