Intelligent Tobacco Curing Control Based on Color Recognition

Abstract

To reduce the labor cost and the workload required in the tobacco curing process, an intelligent tobacco curing control technique adopting color identification of the tobacco leaves is proposed. The HSI color space is used in color segmentation and the color recognition with fuzzy decision is used in the curing process. The curing controller can identify the curing stage by the color features of the tobacco leaves and the environmental parameters of the barn. Then it adjusts the temperature, the humidity and the ventilation of the barn to prevent the leaves from bad colors. The controller can be used for various tobacco species and various mature states and harvesting weather. The intelligent control can reduce the workload and labor cost involved in the curing process and guarantee the quality and market value of the cured tobacco.