Detection of rice panicle blast with multispectral radiometer and the potential of using airborne multispectral scanners.
about
Current and Prospective Methods for Plant Disease DetectionRemote sensing of rice crop areasDiscrimination of rice panicles by hyperspectral reflectance data based on principal component analysis and support vector classificationCharacterizing and estimating rice brown spot disease severity using stepwise regression, principal component regression and partial least-square regression.Chlorophyll Fluorescence and Reflectance-Based Non-Invasive Quantification of Blast, Bacterial Blight and Drought Stresses in Rice.New Spectral Index for Detecting Wheat Yellow Rust Using Sentinel-2 Multispectral Imagery.
P2860
Detection of rice panicle blast with multispectral radiometer and the potential of using airborne multispectral scanners.
description
2001 nî lūn-bûn
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2001年の論文
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2001年学术文章
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2001年学术文章
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2001年学术文章
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2001年学术文章
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2001年学术文章
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2001年学术文章
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2001年學術文章
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2001年學術文章
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name
Detection of rice panicle blas ...... rborne multispectral scanners.
@en
Detection of rice panicle blas ...... rborne multispectral scanners.
@nl
type
label
Detection of rice panicle blas ...... rborne multispectral scanners.
@en
Detection of rice panicle blas ...... rborne multispectral scanners.
@nl
prefLabel
Detection of rice panicle blas ...... rborne multispectral scanners.
@en
Detection of rice panicle blas ...... rborne multispectral scanners.
@nl
P2093
P1433
P1476
Detection of rice panicle blas ...... rborne multispectral scanners.
@en
P2093
P304
P356
10.1094/PHYTO.2001.91.3.316
P577
2001-03-01T00:00:00Z