FAO AGRIS - Système international des sciences et technologies agricoles

A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations

2024

Obahoundje, Salomon | Tilahun, Seifu A. | Zemadim, Birhanu | Schmitter, Petra S.


Informations bibliographiques
Langue
anglais
Licence
Open Access, CC-BY-4.0
Type
Conference Poster; Conference Part
Source
Obahoundje, Salomon; Tilahun, Seifu A.; Zemadim, Birhanu; Schmitter, Petra. 2024. A comprehensive analysis of machine learning and remote sensing techniques in studying climate hazards-induced crop yield variations. Poster presented at the Drought Resilience +10 Conference, Geneva, Switzerland, 30 September – 02 October 2024.

2024-12-20
2025-11-19
MODS
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