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| Content Provider | World Health Organization (WHO)-Global Index Medicus |
|---|---|
| Author | Kong, Wenwen Bao, Yidan Liu, Fei He, Yong Zhang, Chu Yu, Jiajia |
| Description | Country affiliation: China Author Affiliation: Kong W ( College of Biosystems Engineering and Food Science, Zhejiang University, Hangzhou 310058, China.) |
| Abstract | Tomatoes are cultivated around the world and gray mold is one of its most prominent and destructive diseases. An early disease detection method can decrease losses caused by plant diseases and prevent the spread of diseases. The activity of peroxidase (POD) is very important indicator of disease stress for plants. The objective of this study is to examine the possibility of fast detection of POD activity in tomato leaves which infected with Botrytis cinerea using hyperspectral imaging data. Five pre-treatment methods were investigated. Genetic algorithm-partial least squares (GA-PLS) was applied to select optimal wavelengths. A new fast learning neural algorithm named extreme learning machine (ELM) was employed as multivariate analytical tool in this study. 21 optimal wavelengths were selected by GA-PLS and used as inputs of three calibration models. The optimal prediction result was achieved by ELM model with selected wavelengths, and the r and RMSEP in validation were 0.8647 and 465.9880 respectively. The results indicated that hyperspectral imaging could be considered as a valuable tool for POD activity prediction. The selected wavelengths could be potential resources for instrument development. |
| ISSN | 13861425 |
| Volume Number | 118 |
| e-ISSN | 18733557 |
| Journal | Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy |
| Language | English |
| Publisher | Elsevier |
| Publisher Date | 2014-01-24 |
| Publisher Place | Great Britain (UK) |
| Access Restriction | One Nation One Subscription (ONOS) |
| Subject Keyword | Botrytis Isolation & Purification Lycopersicon Esculentum Enzymology Microbiology Peroxidases Metabolism Algorithms Artificial Intelligence Enzyme Assays Instrumentation Equipment Design Image Processing, Computer-assisted Plant Diseases Plant Leaves Spectrum Analysis Journal Article Research Support, Non-u.s. Gov't Discipline Spectroscopy |
| Content Type | Text |
| Resource Type | Article |
| Subject | Spectroscopy Atomic and Molecular Physics, and Optics Analytical Chemistry Instrumentation |
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