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

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2024-09-30

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en
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Poster

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Open Access Open Access

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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.

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Author ORCID identifiers

Salomon OBAHOUNDJE  https://orcid.org/0000-0001-8093-5241
 Seifu Tilahun  https://orcid.org/0000-0002-5219-4527
 Birhanu Zemadim  https://orcid.org/0000-0002-3497-2364
 Petra Schmitter  https://orcid.org/0000-0002-3826-7224
AGROVOC Keywords
analysis; machine learning; remote sensing; techniques; climate change; hazards; climate variability; crop yield; crop production; drought; indicators; food security; risk management
Regions
Africa; Asia
Organizations Affiliated to the Authors
International Water Management Institute

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IWMI Miscellaneous Publications