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Content Provider | IEEE Xplore Digital Library |
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Author | Liu Peng Kang Tu Zhang Wei Pan Lei Qing |
Copyright Year | 2010 |
Description | Author affiliation: College of food science and technology, Nanjing Agricultural University, Key laboratory of Food Processing and Quality control, Ministry of Agriculture, China (Liu Peng; Kang Tu; Zhang Wei; Pan Lei Qing) |
Abstract | Multi-sensor fusion model based on non-destructive detection expert system for agricultural products is a new direction in non-destructive detection research of agricultural products. In this study, egg has been taken as the research object. The system was supported by the egg quality information, physiological and biochemical index, detection characteristics and detection algorithms. The egg non-destructive detection expert system design consists of 3 modules which are knowledge model designing, the model base designing and the inference engine design applying the multi-sensor fusion technology and soft engineering method. The system has been developed in the .NET platform with C++ programming language and Access System has been taken as database system's construction. The system has good characteristics such as predicting performance, high intelligence, self-learning and so on. The system provided critical intelligence data and application modules for reconstruction and intellectualization of agricultural non-destructive detection process. |
File Size | 1179709 |
File Format | |
ISBN | 9781424472352 |
e-ISBN | 9781424472376 |
DOI | 10.1109/ICCASM.2010.5620083 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2010-10-22 |
Publisher Place | China |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Computers Databases Image color analysis Computational modeling Egg Expert system Acoustics Multi-sensor fusion Non-destructive detection Artificial intelligence Load modeling |
Content Type | Text |
Resource Type | Article |
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