• Contribution
  • Improving high throughput sensor-based data acquisition of breeding material

Improving high throughput sensor-based data acquisition of breeding material

GND
1236649273
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany
Zheng, Xiaorong;
Affiliation
Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany
Fischer, Benedikt;
GND
1236440242
Affiliation
Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany
Krause, Julius;
Affiliation
Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany
Schumacher, Petra;
Affiliation
Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany
Gauweiler, Pascal;
GND
1060532190
Affiliation
Fraunhofer IOSB, Karlsruhe, Institute of Optronics, System Technologies and Image Exploitation, Karlsruhe, Germany
Gruna, Robin;
GND
1059151928
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany
Töpfer, Reinhard;
GND
1059151588
Affiliation
Julius Kühn-Institute (JKI), Institute for Grapevine Breeding, Germany
Kicherer, Anna

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Category

Conference:
XIII. International Symposium on Grapevine Breeding and Genetics; Siebeldingen, Germany; 2022.07.10-15
Published in:
XIII. International Symposium on Grapevine Breeding and Genetics, Pioneering Wines (PIWIs) - Innovation and Tradition, Abstract…
articlenr.:P32 (2022), p. 114
Date Issued:
2022
Date Issued (online):
10.07.2022
Language:
English
Type of Resource:
Text
Place Term:
Quedlinburg, Germany
Publisher:
Julius Kühn-Institut
Keywords:
grapevine; phenotyping; sensorGND; data management; annotationGND; healthy; diseased
DDC subject of DNB:
630 Agriculture
Institution:
Julius Kühn-Institute, Institute for Grapevine Breeding

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License Holder: The Author(s) 2022.

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