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Volumn 25, Issue 9, 2009, Pages 133-136

Model of moisture content of paddy rice leaf based on canopy spectral reflectance

Author keywords

Genetic algorithms; Multiple linear regression analysis; Neural networks; Paddy rice; Spectrum analysis

Indexed keywords

AVERAGE ERRORS; BP NEURAL NETWORKS; CANOPY SPECTRAL REFLECTANCE; CORRELATION COEFFICIENT; ERROR RATE; INITIAL WEIGHTS; LEAF MOISTURE; MOISTURE CONTENT VALUES; MOISTURE CONTENTS; MULTIPLE LINEAR REGRESSION ANALYSIS; MULTIPLE LINEAR REGRESSION METHOD; MULTIPLE LINEAR REGRESSIONS; NETWORK MODELS; PADDY RICE; PREDICTION CAPABILITY; PREDICTION MODEL; REAL VALUES; SPECTRAL REFLECTANCES; TEST RESULTS; WAVEBANDS;

EID: 70350605675     PISSN: 10026819     EISSN: None     Source Type: Journal    
DOI: 10.3969/j.issn.1002-6819.2009.09.024     Document Type: Article
Times cited : (10)

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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.