• Contribution
  • Development of a high-throughput phenotyping method for European pear rust…

Development of a high-throughput phenotyping method for European pear rust using UAV-based RGB imagery

GND
137845197
Affiliation
Julius Kühn-Institute (JKI), Institute for Breeding Research on Fruit Crops, Germany
Reim, Stefanie;
Affiliation
Leibniz Institute for Agricultural Engineering and Bioeconomy, Department Horticultural Engineering, Max-Eyth-Allee 100, 14469 Potsdam, Germany
Maß, Virginia;
Affiliation
Leibniz Institute for Agricultural Engineering and Bioeconomy, Department Horticultural Engineering, Max-Eyth-Allee 100, 14469 Potsdam, Germany
Alirezazadeh, Pendar;
Affiliation
Geo-konzept, Gesellschaft für Umweltplanungssysteme mbH, Wittenfelder Str. 28, 85111 Adelschlag, Germany
Seidl-Schulz, Johannes;
Affiliation
Geo-konzept, Gesellschaft für Umweltplanungssysteme mbH, Wittenfelder Str. 28, 85111 Adelschlag, Germany
Leipnitz, Matthias;
Affiliation
Julius Kühn-Institute (JKI), Institute for Breeding Research on Fruit Crops, Germany
Fritzsche, Eric;
Affiliation
Leibniz Institute for Agricultural Engineering and Bioeconomy, Department Horticultural Engineering, Max-Eyth-Allee 100, 14469 Potsdam, Germany
Geyer, Martin;
Affiliation
Leibniz Institute for Agricultural Engineering and Bioeconomy, Department Horticultural Engineering, Max-Eyth-Allee 100, 14469 Potsdam, Germany
Pflanz, Michael

Files

Category

Conference:
55. Gartenbauwissenschaftliche Jahrestagung 2023; Osnabrück, Deutschland; 2023.03.01-03
Published in:
55. Gartenbauwissenschaftliche Jahrestagung „KI-Technologie in den Gartenbauwissenschaften - Risiken und Chancen in Wissenschaft…
(2023), p. 53
Date Issued:
2023
Date Issued (online):
01.03.2023
Language:
English
Type of Resource:
Text
Keywords:
Fruit breeding; UAV; Genetic resources; Georeferencing; Object detection
DDC subject of DNB:
630 Agriculture
Institution:
Julius Kühn-Institute, Institute for Breeding Research on Fruit Crops

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