Instituto Internacional de Agricultura Tropical (IITA)
URI permanente para esta colecciónhttp://hdl.handle.net/123456789/114560
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Ítem Tracking the magnitude of climate change and variability with remote sensing data to improve targeting of climate smart agricultural technologies(Institute of Electrical and Electronics Engineers) Muthoni, Francis K.Ítem Machine learning model accurately predict maize grain yields in conservation agriculture systems in southern Africa(Institute of Electrical and Electronics Engineers) Muthoni, Francis K.; Thierfelder, Christian L.; Mudereri, B.T.; Manda, J.; Bekunda, Mateete A.; Hoeschle-Zeledon, Irmgard