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

Detalles Bibliográficos
Autores principales:	Obahoundje, Salomon, Tilahun, Seifu A., Zemadim, Birhanu, Schmitter, Petra S.
Formato:	Póster
Lenguaje:	Inglés
Publicado:	2024
Materias:	analysis machine learning remote sensing techniques climate change hazards climate variability crop yield crop production drought indicators food security risk management
Acceso en línea:	https://hdl.handle.net/10568/163479

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