Intelligent Tobacco Curing Control Based on Color Recognition
نویسنده
چکیده
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.
منابع مشابه
Study on Intelligent Temperature Controller Based on Expert Controlling
This paper summarizes and analyses the problems existing in the tobacco leaf curing process: lag and Low accuracy of temperature control. The retrofit design of the temperature control system has been completed according to the expert control principle of the intelligent control. The design of the intelligent temperature controller has been done. Copyright © 2014 IFSA Publishing, S. L.
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