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Farshina Nazrul on Muck Rack

Farshina Nazrul

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Data-driven and machine learning framework for Alfalfa yield response to long-term climate variability in the Kansas High Plains (USA)

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By Jiyung Kim, Bradley Whitaker, Debjani Sihi, Doohong Min, Gaurav Nath Jha, Farshina Nazrul, Sourajit Dey
| Nature Verified
Abstract Climate extremes and declining water availability in the U.S. High Plains threaten the long-term sustainability of alfalfa production. This study presents a machine learning (ML) based modeling framework to identify and evaluate key agro-climatic predictors of alfalfa (Medicago sativa L.) yield across nine agricultural districts in Kansas from 1981 to 2018.
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