Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios
Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios
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Basel: MDPI AG
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Language
English
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Publisher
Basel: MDPI AG
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Contents
Climate change has emerged as one of the most significant challenges in modern agriculture, with potential implications for global food security. The impact of changing climatic conditions on crop yield, particularly for staple crops like wheat, has raised concerns about future food production. By integrating historical climate data, GCM (CMIP3) pr...
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Full title
Analysis of Wheat-Yield Prediction Using Machine Learning Models under Climate Change Scenarios
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TN_cdi_proquest_journals_3098210510
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3098210510
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ISSN
2071-1050
E-ISSN
2071-1050
DOI
10.3390/su16166976
