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谁帮忙检索篇论文是否SCI，web of science的检索信息能贴下吗，谢谢。 已有2人参与
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| Differentiation of Mechanical Damages of Rice Plants Using E-Nose，这篇论文SCI检索吗，谁能把WEB OF SCIENCE检索信息贴出来啊。 |
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2楼2013-07-16 11:40:38
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DIFFERENTIATION OF MECHANICAL DAMAGES OF RICE PLANTS USING E-NOSE Author(s): Zhou, B (Zhou, Bo)[ 1 ] ; Wang, J (Wang, Jun)[ 1 ] Source: INTELLIGENT AUTOMATION AND SOFT COMPUTING Volume: 18 Issue: 5 Special Issue: SI Pages: 443-451 Published: 2012 Times Cited: 0 (from Web of Science) Cited References: 19 [ view related records ] Citation Map Abstract: Plants change the emission of induced volatiles in response to damage and herbivore attack, and monitoring the change of such volatiles could provide a nondestructive means of plant health measurement. Current monitoring techniques for plant volatiles are time-consuming and costly. The main objective of this research is to figure out whether electronic nose (e-nose) technique can be used to differentiate rice plants with different degrees of mechanical damage. A portable e-nose (PEN2) is used to characterize and classify rice plants subjected to three degrees of mechanical damage compared with undamaged control plants. Principle component analysis (PCA), Linear discriminant analysis (LDA), Stepwise discriminant analysis (SDA), and Back-propagation neural network (BPNN) are applied to evaluate the data. Different degrees of damaged rice plants are better distinguished using LDA than using PCA. The average correction ratio of testing set of BPNN is 75%. The results obtained indicate that it is possible to classify different degrees of damaged rice plants using e-nose signals. This study demonstrates the feasibility of using an e-nose to rice plant damage assessment. Accession Number: WOS:000314855700002 Document Type: Article Language: English Author Keywords: Rice plant; Mechanical damage; Electronic nose; Crop inspection KeyWords Plus: ELECTRONIC NOSE; NILAPARVATA-LUGENS; VOLATILE EMISSIONS; DISCRIMINATION; QUALITY Reprint Address: Wang, J (reprint author) Zhejiang Univ, Dept Biosyst Engn, 268 Kaixuan Rd, Hangzhou 310029, Zhejiang, Peoples R China. Organization-Enhanced Name(s) Zhejiang University Addresses: [ 1 ] Zhejiang Univ, Dept Biosyst Engn, Hangzhou 310029, Zhejiang, Peoples R China Organization-Enhanced Name(s) Zhejiang University E-mail Addresses: zjzhobo@163.com; jwang@zju.edu.cn Publisher: AUTOSOFT PRESS, 18015 BOLLIS HILL, SAN ANTONIO, TX 78258 USA Web of Science Categories: Automation & Control Systems; Computer Science, Artificial Intelligence Research Areas: Automation & Control Systems; Computer Science IDS Number: 088RV ISSN: 1079-8587 |
3楼2013-07-16 13:29:45
4楼2013-07-17 10:19:22
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