Research Article | OPEN ACCESS
Intelligent Tobacco Curing Control Based on Color Recognition
1, 2Hua Zhang, 1, 2Xiaoping Jiang and 1, 2Shaobo Chen
1College of Electronics and Information Engineering
2Hubei Key Laboratory of Intelligent Wireless Communications, South-Central
University for Nationalities, Wuhan, 430074, China
Research Journal of Applied Sciences, Engineering and Technology 2013 8:2509-2513
Received: July 27, 2012 | Accepted: September 03, 2012 | Published: March 15, 2013
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.
Keywords:
Color recognition, image process, intelligent control, tobacco curing barn,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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