A novel intelligent control system for flue-curing barns based on real-time image features

doi:10.1016/j.biosystemseng.2014.05.008

	A novel intelligent control system for flue-curing barns based on real-time image features
	Wu, Juan1,2 ; Yang, Simon X.3; Tian, Fengchun 1
	2014-07-01
发表期刊	BIOSYSTEMS ENGINEERING
ISSN	1537-5110
EISSN	1537-5129
卷号	123 页码:77-90
摘要	Most intensive tobacco curing systems are manually operated requiring the curers to frequently observe the status of tobacco leaves and in order to achieve the desired temperature and relative humidity, curers adjust the setpoint values of dry and wet bulb temperatures and the time to change to the next setpoints. Control is therefore subjective and it is difficult to maintain consistent high quality curing. A novel intelligent control system based on the real-time image processing of the tobacco leaves images to monitor the status of the tobacco leaves was developed. A neural network based approach was designed to identify the setpoints for the dry and wet bulb temperatures, and the time to change to the next setpoints. Inputs were 12 extracted image features obtained from an image processing algorithm and the measured dry and wet bulb temperatures in the barn. Without any manual intervention by curers, the developed intelligent control system achieved real-time monitoring and management of the curing process. The effectiveness of the developed intelligent control system was demonstrated by simulation and experiment. © 2014 IAgrE.
关键词	Control systems Curing Drying Farm buildings Intelligent control Neural networks Quality control Tobacco Image features Image processing algorithm Manual intervention Network-based approach Real time images Real time monitoring Real-time image processing Temperature and relative humidity
DOI	10.1016/j.biosystemseng.2014.05.008
收录类别	EI ; SCIE
语种	英语
WOS研究方向	Agriculture
WOS类目	Agricultural Engineering ; Agriculture, Multidisciplinary
WOS记录号	WOS:000338805500008
出版者	Academic Press
EI入藏号	20142317792965
EI分类号	731.1 Control Systems ; 802.2 Chemical Reactions ; 821.4 Agricultural Products ; 821.6 Farm Buildings and Other Structures ; 913.3 Quality Assurance and Control
原始文献类型	Journal article (JA)
出版地	SAN DIEGO
引用统计	被引频次：16[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	https://ir.cqcet.edu.cn/handle/39TD4454/2944
专题	电子与物联网学院
作者单位	1.College of Communication Engineering, Chongqing University, Chongqing 400044, China; 2.Chongqing College of Electronic Engineering, Chongqing 401331, China; 3.Advanced Robotics and Intelligent Systems (ARIS) Laboratory, School of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada
第一作者单位	重庆电子科技职业大学
推荐引用方式 GB/T 7714	Wu, Juan,Yang, Simon X.,Tian, Fengchun. A novel intelligent control system for flue-curing barns based on real-time image features[J]. BIOSYSTEMS ENGINEERING,2014,123:77-90.
APA	Wu, Juan,Yang, Simon X.,&Tian, Fengchun.(2014).A novel intelligent control system for flue-curing barns based on real-time image features.BIOSYSTEMS ENGINEERING,123,77-90.
MLA	Wu, Juan,et al."A novel intelligent control system for flue-curing barns based on real-time image features".BIOSYSTEMS ENGINEERING 123(2014):77-90.