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  • UAS-based phenotyping of N-efficient and climate-friendly oilseed rape…

UAS-based phenotyping of N-efficient and climate-friendly oilseed rape hybrids using multivariate statistics and machine learning methods (NORA)

GND
1241500053
Affiliation
Julius Kühn-Institut (JKI), Institut für Pflanzenbau und Bodenkunde, Deutschland
Löwe, Dennis;
GND
1280831596
Warnemünde, Sebastian;
GND
1305818962
Affiliation
Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Germany
Brassac, Jonathan;
GND
1257632809
Affiliation
Julius Kühn Institute (JKI), Institute for Strategies and Technology Assessment, Germany
Viswanathan, Michelle;
GND
1222562243
Affiliation
Julius Kühn Institute (JKI), Institute for Resistance Research and Stress Tolerance, Germany
Stahl, Andreas;
GND
143656902
Affiliation
Julius Kühn Institute (JKI), Institute for Strategies and Technology Assessment, Germany
Feike, Til;
GND
1030141754
Affiliation
Julius Kühn-Institut (JKI), Institut für Pflanzenbau und Bodenkunde, Deutschland
Gerighausen, Heike

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Conference:
2. Vernetzungstreffen von RessortForschtKlima ; 2024.06.19
Date Issued:
2024
Date Issued (online):
14.06.2024
DOI:
10.5073/20240614-070948-0
Language:
English
Type of Resource:
Text
DDC subject of DNB:
630 Agriculture
Institution:
Julius Kühn-Institute, Institute for Crop and Soil Science
Institution:
Julius Kühn-Institute, Institute for Resistance Research and Stress Tolerance
Institution:
Julius Kühn-Institute, Institute for Strategies and Technology Assessment

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