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Application of Machine Learning Models in Agricultural and Meteorological Sciences

By: Akram Seifi (Author) , Fatemeh Barzegari Banadkooki (Author) , Mohammad Ehteram (Author)

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Ksh 31,900.00

Format: Paperback or Softback

ISBN-10: 9811997357

ISBN-13: 9789811997358

Edition statement: 2023 ed.

Publisher: Springer Verlag, Singapore

Imprint: Springer Verlag, Singapore

Country of Manufacture: GB

Country of Publication: GB

Publication Date: Mar 23rd, 2024

Publication Status: Active

Product extent: 196 Pages

Product Classification / Subject(s): Meteorology & climatology
Agricultural science
Machine learning

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The models of the current book are valuable for meteorological organizations. Meteorological and agricultural variables can be accurately estimated with this book's advanced models. The book explains how modelers use evolutionary algorithms to develop machine learning models.

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