Matches in SemOpenAlex for { <https://semopenalex.org/work/W3043008442> ?p ?o ?g. }
- W3043008442 endingPage "3938" @default.
- W3043008442 startingPage "3938" @default.
- W3043008442 abstract "The color of plant leaves is moderated by the content of pigments, which can show considerable dorsiventral distribution. Two typical examples are leafy vegetables and ornamentals, wherein red and green color surfaces can be seen on the same leaf. The proof of concept is provided for predictive modeling of a leaf conceptual mid-point quasi-color (CMQ) from the content of pigments. The CMQ idea is based on the hypothesis that the content of pigments in leaves is associated with the combined color from both surfaces. The CMQ, which is calculated from CIELab color coordinates at adaxial and abaxial antipodes, is thus not an actual color, but a notion that can be used in modeling. The CMQ coordinates, predicted from the content of chlorophylls and anthocyanins by means of an artificial neural network (ANN), matched well with the CMQ coordinates empirically found on photosynthetically active leaves of lettuce (Lactuca sativa L.), but also with other plant species with comparable leaf attributes. Modeled values of lightness (qL*) decreased with the increasing content of both pigments, while the redness or greenness (qa*) and yellowness or blueness (qb*) of the CMQ were affected more by a relative content of chlorophylls and anthocyanins in leaves. The highest vividness of quasi-colors (qC*) was modeled for leaves with a high content of either pigment alone. The model predicted a substantially duller quasi-color for leaves with chlorophylls and anthocyanins present together, particularly when both pigments were present at very high levels." @default.
- W3043008442 created "2020-07-23" @default.
- W3043008442 creator A5077074151 @default.
- W3043008442 date "2020-07-15" @default.
- W3043008442 modified "2023-10-12" @default.
- W3043008442 title "Predictive Modeling of a Leaf Conceptual Midpoint Quasi-Color (CMQ) Using an Artificial Neural Network" @default.
- W3043008442 cites W1586335931 @default.
- W3043008442 cites W1590906424 @default.
- W3043008442 cites W1742837665 @default.
- W3043008442 cites W1965036113 @default.
- W3043008442 cites W1968782543 @default.
- W3043008442 cites W1972136756 @default.
- W3043008442 cites W1985479930 @default.
- W3043008442 cites W1988020207 @default.
- W3043008442 cites W2000473546 @default.
- W3043008442 cites W2036003376 @default.
- W3043008442 cites W2037155738 @default.
- W3043008442 cites W2055728346 @default.
- W3043008442 cites W2100495367 @default.
- W3043008442 cites W2103959917 @default.
- W3043008442 cites W2120836582 @default.
- W3043008442 cites W2122782494 @default.
- W3043008442 cites W2138696814 @default.
- W3043008442 cites W2166833975 @default.
- W3043008442 cites W2171149994 @default.
- W3043008442 cites W2289008458 @default.
- W3043008442 cites W2292626903 @default.
- W3043008442 cites W2313339984 @default.
- W3043008442 cites W2399101703 @default.
- W3043008442 cites W2432085345 @default.
- W3043008442 cites W2519984921 @default.
- W3043008442 cites W2537879781 @default.
- W3043008442 cites W2556703757 @default.
- W3043008442 cites W2560761749 @default.
- W3043008442 cites W2565513003 @default.
- W3043008442 cites W2775047687 @default.
- W3043008442 cites W2788388592 @default.
- W3043008442 cites W2792828762 @default.
- W3043008442 cites W2805314617 @default.
- W3043008442 cites W2805810005 @default.
- W3043008442 cites W2912520844 @default.
- W3043008442 cites W2940118123 @default.
- W3043008442 cites W2953089157 @default.
- W3043008442 cites W3002643856 @default.
- W3043008442 cites W3010395697 @default.
- W3043008442 doi "https://doi.org/10.3390/s20143938" @default.
- W3043008442 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/7412459" @default.
- W3043008442 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/32679776" @default.
- W3043008442 hasPublicationYear "2020" @default.
- W3043008442 type Work @default.
- W3043008442 sameAs 3043008442 @default.
- W3043008442 citedByCount "11" @default.
- W3043008442 countsByYear W30430084422020 @default.
- W3043008442 countsByYear W30430084422021 @default.
- W3043008442 countsByYear W30430084422022 @default.
- W3043008442 countsByYear W30430084422023 @default.
- W3043008442 crossrefType "journal-article" @default.
- W3043008442 hasAuthorship W3043008442A5077074151 @default.
- W3043008442 hasBestOaLocation W30430084421 @default.
- W3043008442 hasConcept C108597893 @default.
- W3043008442 hasConcept C120665830 @default.
- W3043008442 hasConcept C121332964 @default.
- W3043008442 hasConcept C144027150 @default.
- W3043008442 hasConcept C154945302 @default.
- W3043008442 hasConcept C178790620 @default.
- W3043008442 hasConcept C185592680 @default.
- W3043008442 hasConcept C186060115 @default.
- W3043008442 hasConcept C193601281 @default.
- W3043008442 hasConcept C2778343920 @default.
- W3043008442 hasConcept C33584711 @default.
- W3043008442 hasConcept C33923547 @default.
- W3043008442 hasConcept C41008148 @default.
- W3043008442 hasConcept C44870925 @default.
- W3043008442 hasConcept C59822182 @default.
- W3043008442 hasConcept C64584667 @default.
- W3043008442 hasConcept C86803240 @default.
- W3043008442 hasConceptScore W3043008442C108597893 @default.
- W3043008442 hasConceptScore W3043008442C120665830 @default.
- W3043008442 hasConceptScore W3043008442C121332964 @default.
- W3043008442 hasConceptScore W3043008442C144027150 @default.
- W3043008442 hasConceptScore W3043008442C154945302 @default.
- W3043008442 hasConceptScore W3043008442C178790620 @default.
- W3043008442 hasConceptScore W3043008442C185592680 @default.
- W3043008442 hasConceptScore W3043008442C186060115 @default.
- W3043008442 hasConceptScore W3043008442C193601281 @default.
- W3043008442 hasConceptScore W3043008442C2778343920 @default.
- W3043008442 hasConceptScore W3043008442C33584711 @default.
- W3043008442 hasConceptScore W3043008442C33923547 @default.
- W3043008442 hasConceptScore W3043008442C41008148 @default.
- W3043008442 hasConceptScore W3043008442C44870925 @default.
- W3043008442 hasConceptScore W3043008442C59822182 @default.
- W3043008442 hasConceptScore W3043008442C64584667 @default.
- W3043008442 hasConceptScore W3043008442C86803240 @default.
- W3043008442 hasIssue "14" @default.
- W3043008442 hasLocation W30430084421 @default.
- W3043008442 hasLocation W30430084422 @default.
- W3043008442 hasLocation W30430084423 @default.
- W3043008442 hasLocation W30430084424 @default.