AI Modeling for Characterization of Paddy Rice Yields under Extreme Weather Conditions Using Remote Sensing and Geospatial Data: Fid-Bau Portal

AI Modeling for Characterization of Paddy Rice Yields under Extreme Weather Conditions Using Remote Sensing and Geospatial Data

Ahn, J. / Lee, Y.

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AI Modeling for Characterization of Paddy Rice Yields under Extreme Weather Conditions Using Remote Sensing and Geospatial Data

Ahn, J. / Lee, Y.

AI Modeling for Characterization of Paddy Rice Yields under Extreme Weather Conditions Using Remote Sensing and Geospatial Data

Ahn, J. / Lee, Y.

Zugriff

Download

Seitennavigation

Dokumentinformationen

Ähnliche Titel

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Titel:

AI Modeling for Characterization of Paddy Rice Yields under Extreme Weather Conditions Using Remote Sensing and Geospatial Data

Beteiligte:

Ahn, J. (Autor:in) / Lee, Y. (Autor:in)

Kongress:

International Conference on Geotechnical and Geophysical Site Characterization ; 7. ; 2024 ; Barcelona

Erschienen in:

Proceedings of the 7th International Conference on Geotechnical and Geophysical Site Characterization, Barcelona, 18-21 June 2024

Erscheinungsdatum:

2024

Medientyp:

Aufsatz (Konferenz)

Format:

Elektronische Ressource

Sprache:

Englisch

Schlagwörter:

Angewandte Geophysik , Baugrunduntersuchung , Geotechnik

Klassifikation:

BKL: 38.70 Geophysik: Allgemeines / 56.20 Ingenieurgeologie, Bodenmechanik / 38.03 Methoden und Techniken der Geowissenschaften

Lizenzbestimmungen:

https://creativecommons.org/licenses/by-nc-sa/3.0/deed.en_US

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