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Sylvie Duthoit

Researcher at University of Johannesburg

Publications -  20
Citations -  1474

Sylvie Duthoit is an academic researcher from University of Johannesburg. The author has contributed to research in topics: Vineyard & Outlier. The author has an hindex of 8, co-authored 19 publications receiving 1279 citations.

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DNA barcoding the floras of biodiversity hotspots

TL;DR: Analysis of >1,000 species of Mesoamerican orchids, DNA barcoding with matK alone reveals cryptic species and proves useful in identifying species listed in Convention on International Trade of Endangered Species (CITES) appendixes.
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Estimation of leaf area and clumping indexes of crops with hemispherical photographs

TL;DR: In this article, CAN-EYE is used to estimate effective and true leaf area index (LAI) from unidirectional gap fractions measured in crops, whereas the true LAI is estimated introducing a clumping index in the Poisson law.
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Detection of Flavescence dorée Grapevine Disease Using Unmanned Aerial Vehicle (UAV) Multispectral Imagery

TL;DR: Evaluation of the feasibility of discriminating the Flavescence doree symptoms in red and white cultivars from healthy vine vegetation using UAV multispectral imagery shows that despite problems of Flavescent dorea and healthy pixel misclassification, an operational Flavescation dorees mapping technique using Uav-based imagery can still be proposed.
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On the potentiality of UAV multispectral imagery to detect flavescence dorée and grapevine trunk diseases

TL;DR: Evaluating the potentiality of UAV multispectral imagery to separate symptomatic vines including FD and GTD from asymptomatic vines (Case 1) and FD vines from GTD ones (Case 2) in the Gaillac and Minervois wine production regions of France.
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A test of _psbK-psbI_ and _atpF-atpH_ as potential plant DNA barcodes using the flora of the Kruger National Park (South Africa) as a model system

TL;DR: This study argues against the ‘multiple barcode approach’ proposed by the plant working group, and instead proposes to keep barcoding plants in line with the approach taken for animals, i.e. using one barcode: _cox1_ for animals and _matK_ for plants.