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1 Ergebnisse
1
Improved optical phenotyping of the grape berry surface usi..:
Haucke, T
;
Herzog, Katja
;
Barré, P
...
Vitis -- 0042-7500 -- 2367-4156 -- 201163-3 -- 2776853-3 -- http://uri.gbv.de/document/gvk:ppn:129464333 -- http://uri.gbv.de/document/gvk:ppn:78978209X -- https://ojs.openagrar.de/index.php/VITIS/issue/archive. , 2021
Link:
https://doi.org/10.5073/vitis.2021.60.1-10
RT Journal T1 <Title>Improved optical phenotyping of the grape berry surface using light-separation and automated RGB image analysis</Title> UL https://suche.suub.uni-bremen.de/peid=base-ftopenagrar:oai:www.openagrar.de:openagrar_mods_00067501&Exemplar=1&LAN=DE A1 Haucke, T A1 Herzog, Katja A1 Barré, P A1 Höfle, Rebecca A1 Töpfer, Reinhard A1 Steinhage, V YR 2021 K1 Text K1 ddc:630 K1 Vitis vinifera ssp. vinifera -- Botrytis susceptibility -- Convolutional Neural Network (CNN) -- computer-based phenotyping -- semantic segmentation JF Vitis -- 0042-7500 -- 2367-4156 -- 201163-3 -- 2776853-3 -- http://uri.gbv.de/document/gvk:ppn:129464333 -- http://uri.gbv.de/document/gvk:ppn:78978209X -- https://ojs.openagrar.de/index.php/VITIS/issue/archive LK http://dx.doi.org/https://doi.org/10.5073/vitis.2021.60.1-10 DO https://doi.org/10.5073/vitis.2021.60.1-10 SF ELIB - SuUB Bremen
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