Advancing pearl millet yield forecasting: Comparative analysis of individual and ensemble machine le...
Advancing pearl millet yield forecasting: Comparative analysis of individual and ensemble machine learning approaches over Rajasthan, India
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Publisher
United States: Public Library of Science
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Language
English
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Publisher
United States: Public Library of Science
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Contents
Pearl millet ( Pennisetum glaucum L. ) is a resilient crop known for its ability to thrive in arid and semi-arid regions, making it a crucial staple in regions prone to drought. Rajasthan, a state in India, emerged as the top producer of pearl millet. This study enhances yield forecasting for pearl millet using machine learning models across nine d...
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Full title
Advancing pearl millet yield forecasting: Comparative analysis of individual and ensemble machine learning approaches over Rajasthan, India
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TN_cdi_plos_journals_3176284630
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_plos_journals_3176284630
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ISSN
1932-6203
E-ISSN
1932-6203
DOI
10.1371/journal.pone.0317602
