• Contribution
  • Utilizing multispectral vegetative indices to predict spring barley yield…

Utilizing multispectral vegetative indices to predict spring barley yield using remote sensing under different drought conditions and sowing patterns

GND
1245172255
Affiliation
Julius Kühn-Institute (JKI), Institute for Strategies and Technology Assessment, Germany
Meziane, Asmae;
GND
1271029987
Affiliation
Julius Kühn-Institute (JKI), Institute for Strategies and Technology Assessment, Germany
Rawat, Akansha;
GND
1241500207
Affiliation
Julius Kühn-Institute (JKI), Institute for Resistance Research and Stress Tolerance, Germany
Töpfer, Veronic;
GND
1150786531
Affiliation
Julius Kühn-Institute (JKI), Institute for Resistance Research and Stress Tolerance, Germany
Matros, Andrea;
GND
1122659032
Affiliation
Julius Kühn-Institute (JKI), Institute for Resistance Research and Stress Tolerance, Germany
Wehner, Gwendolin;
GND
1242995994
Affiliation
Julius Kühn-Institute (JKI), Institute for Biological Control, Germany
Hamburger, Susanne;
GND
141068868
Affiliation
Julius Kühn-Institute (JKI), Institute for Biological Control, Germany
Linkies, Ada;
GND
1059101467
Affiliation
Julius Kühn-Institute (JKI), Institute for Biological Control, Germany
Schmitt, Annegret;
GND
143656902
Affiliation
Julius Kühn-Institute (JKI), Institute for Strategies and Technology Assessment, Germany
Feike, Til

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Conference:
64. Tagung der Gesellschaft für Pflanzenbauwissenschaften e. V.; Göttingen, Deutschland; 2023.10.04-06
Published in:
64. Tagung der Gesellschaft für Pflanzenbauwissenschaften e. V.: Digital tools, big data, modeling and sensing methods for…
(2023), p. 91-92
Date Issued:
2023
Date Issued (online):
04.10.2023
Language:
English
Type of Resource:
Text
DDC subject of DNB:
630 Agriculture
Institution:
Julius Kühn-Institute, Institute for Strategies and Technology Assessment
Institution:
Julius Kühn-Institute, Institute for Resistance Research and Stress Tolerance
Institution:
Julius Kühn-Institute, Institute for Biological Control

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