Non-destructive evaluation of chlorophyll content in quinoa and amaranth leaves by simple and multiple regression analysis of RGB image components

Photosynthesis Research

Volumn 120, Issue 3, 2014, Pages 263-272

  Riccardi, M ^a   Mele, G ^a   Pulvento, C ^a   Lavini, A ^a   D'Andria, R ^a   Jacobsen, S E ^b  

^a CNR Consiglio Nazionale delle Ricerche   (Italy)

^b UNIVERSITY OF COPENHAGEN   (Denmark)

Author keywords

Amaranthus sp.; Chenopodium quinoa; Leaf image analysis; RGB multi regression model

Indexed keywords

AMARANTHUS; AMARANTHUS CAUDATUS; CHENOPODIUM QUINOA;

CHLOROPHYLL;

ALGORITHM; AMARANTHUS; CHEMISTRY; CHENOPODIUM QUINOA; COLOR; GENOTYPE; METABOLISM; PHOTOGRAPHY; PLANT LEAF; REGRESSION ANALYSIS; SPECTROSCOPY;

ALGORITHMS; AMARANTHUS; CHENOPODIUM QUINOA; CHLOROPHYLL; COLOR; GENOTYPE; PHOTOGRAPHY; PLANT LEAVES; REGRESSION ANALYSIS; SPECTRUM ANALYSIS;

EID: 84901855268     PISSN: 01668595     EISSN: None     Source Type: Journal    
DOI: 10.1007/s11120-014-9970-2     Document Type: Article

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