Modeling the effects of light and sucrose on in vitro propagated plants: A multiscale system analysis using artificial intelligence technology

PLoS ONE

Volumn 9, Issue 1, 2014, Pages

  Gago, Jorge ^a,c   Martínez Núñez, Lourdes ^a   Landín, Mariana ^b   Flexas, Jaume ^c   Gallego, Pedro P ^a  

^a UNIVERSITY OF VIGO   (Spain)

^b UNIVERSITY OF SANTIAGO DE COMPOSTELA   (Spain)

^c INSTITUTO MEDITERRÁNEO DE ESTUDIOS AVANZADOS   (Spain)

Author keywords

[No Author keywords available]

Indexed keywords

SUCROSE;

ACCLIMATIZATION; ARTICLE; ARTIFICIAL INTELLIGENCE; CONCENTRATION (PARAMETERS); CONTROLLED STUDY; DRY WEIGHT; FUZZY LOGIC; FUZZY SYSTEM; IN VITRO PROPAGATION; KIWIFRUIT; LIGHT INTENSITY; PHOTOINHIBITION; PHOTOSYNTHETIC PHOTON FLUX DENSITY; PLANT LEAF; PLANT PARAMETERS; PLANT WATER CONTENT; PLANTLET; ROOT LENGTH; SCORING SYSTEM; SHOOT LENGTH; STOMATAL DENSITY; SYSTEM ANALYSIS; ACTINIDIA; ARTIFICIAL NEURAL NETWORK; BIOLOGICAL MODEL; COMPUTER SIMULATION; LIGHT; METABOLISM; PHYSIOLOGY;

ACCLIMATIZATION; ACTINIDIA; ARTIFICIAL INTELLIGENCE; COMPUTER SIMULATION; FUZZY LOGIC; LIGHT; MODELS, BIOLOGICAL; NEURAL NETWORKS (COMPUTER); SUCROSE;

EID: 84898891308     PISSN: None     EISSN: 19326203     Source Type: Journal    
DOI: 10.1371/journal.pone.0085989     Document Type: Article

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