Prediction of chlorophyll content of winter wheat using leaf-level hyperspectral data

Nongye Jixie Xuebao/Transactions of the Chinese Society of Agricultural Machinery

Volumn 41, Issue 5, 2010, Pages 172-177

  Wang, Wei ^a   Peng, Yankun ^a   Ma, Wei ^b   Huang, Hui ^a   Wang, Xiu ^b  

^a CHINA AGRICULTURAL UNIVERSITY   (China)

^b NATIONAL ENGINEERING RESEARCH CENTER FOR INFORMATION TECHNOLOGY IN AGRICULTURE   (China)

Author keywords

Chlorophyll content; Hyperspectral image; Multivariate linear regression; Winter wheat

Indexed keywords

CHLOROPHYLL CONTENTS; CORRELATION ANALYSIS; DATA SETS; DETERMINATION COEFFICIENTS; FIRST DERIVATIVE; HYPER-SPECTRAL IMAGES; HYPERSPECTRAL; HYPERSPECTRAL DATA; IMAGE DATA; MULTIVARIATE LINEAR REGRESSIONS; OPTIMAL WAVELENGTH; PIXEL INTENSITIES; PREDICTION MODEL; REFLECTIVE SPECTRUM; REGION OF INTEREST; SCAN LINE; STATISTICAL SIGNIFICANCE; THREE-WAVELENGTHS; TRAINING DATASET; WINTER WHEAT;

CHLOROPHYLL; FORECASTING; LINEAR REGRESSION; MATHEMATICAL MODELS; OPTIMIZATION;

PORPHYRINS;

EID: 77953749842     PISSN: 10001298     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1000-1298.2010.05.035     Document Type: Article

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