Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
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Data Mining and NIR Spectroscopy in Viticulture: Applications for Plant Phenotyping under Field Conditions.Addressing Facts and Gaps in the Phenolics Chemistry of Winery By-Products.Vineyard water status assessment using on-the-go thermal imaging and machine learning.FT-MIR and NIR spectral data fusion: a synergetic strategy for the geographical traceability of Panax notoginseng.Evaluation of a miniaturized NIR spectrometer for cultivar identification: The case of barley, chickpea and sorghum in Ethiopia.A Review of the Application to Emergent Subfields in Viticulture of Local Reflectance and Interactance Spectroscopy Combined with Soft Computing and Multivariate Analysis
P2860
Support Vector Machine and Artificial Neural Network Models for the Classification of Grapevine Varieties Using a Portable NIR Spectrophotometer
description
2015 nî lūn-bûn
@nan
2015年の論文
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2015年論文
@yue
2015年論文
@zh-hant
2015年論文
@zh-hk
2015年論文
@zh-mo
2015年論文
@zh-tw
2015年论文
@wuu
2015年论文
@zh
2015年论文
@zh-cn
name
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@ast
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@en
type
label
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@ast
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@en
prefLabel
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@ast
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@en
P2860
P1433
P1476
Support Vector Machine and Art ...... Portable NIR Spectrophotometer
@en
P2093
María P Diago
Salvador Gutiérrez
P2860
P304
P356
10.1371/JOURNAL.PONE.0143197
P407
P577
2015-11-24T00:00:00Z