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Volumn 28, Issue 8, 2008, Pages 1806-1809
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Study on discrimination of corn seed based on near-infrared spectra and artificial neural network model
a
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Author keywords
Artificial neural network (ANN); Corn seed; Discrimination; Near infrared spectra (NIRS); Principal component analysis (PCA)
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Indexed keywords
AGRICULTURAL PRODUCTS;
BACKPROPAGATION;
CELL CULTURE;
CLASSIFICATION (OF INFORMATION);
COMPUTER NETWORKS;
ELECTROMAGNETIC WAVES;
FINANCIAL DATA PROCESSING;
IMAGE CLASSIFICATION;
INFRARED DEVICES;
INFRARED SPECTROSCOPY;
MODAL ANALYSIS;
REFLECTION;
SEED;
SPECTRUM ANALYSIS;
STATISTICAL TESTS;
ARTIFICIAL NEURAL NETWORK (ANN);
CORN SEED;
DISCRIMINATION;
NEAR INFRARED SPECTRA (NIRS);
PRINCIPAL COMPONENT ANALYSIS (PCA);
PRINCIPAL COMPONENT ANALYSIS;
ALGORITHM;
ARTICLE;
ARTIFICIAL NEURAL NETWORK;
CHEMICAL MODEL;
CHEMISTRY;
MAIZE;
METHODOLOGY;
NEAR INFRARED SPECTROSCOPY;
PLANT SEED;
PRINCIPAL COMPONENT ANALYSIS;
ALGORITHMS;
MODELS, CHEMICAL;
NEURAL NETWORKS (COMPUTER);
PRINCIPAL COMPONENT ANALYSIS;
SEEDS;
SPECTROSCOPY, NEAR-INFRARED;
ZEA MAYS;
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EID: 51149083704
PISSN: 10000593
EISSN: None
Source Type: Journal
DOI: None Document Type: Article |
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Times cited : (18)
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References (20)
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