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Application of Machine Learning Models in Agricultural and Meteorological Sciences
Hardcover
AgricultureEnvironmental StudiesGeneral Computers
ISBN13: 9789811997327
Publisher: Springer Nature
Published: Mar 22 2023
Pages: 196
Weight: 1.04
Height: 0.50 Width: 6.14 Depth: 9.21
Language: English
This book is a comprehensive guide for agricultural and meteorological predictions. It presents advanced models for predicting target variables. The different details and conceptions in the modelling process are explained in this book. The models of the current book help better agriculture and irrigation management. 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. Modelers, researchers, farmers, students, and scholars can use the new optimization algorithms and evolutionary machine learning to better plan and manage agriculture fields. Water companies and universities can use this book to develop agricultural and meteorological sciences. The details of the modeling process are explained in this book for modelers.
Also this book introduces new and advanced models for predicting hydrological variables. Predicting hydrological variables help water resource planning and management. These models can monitor droughts to avoid water shortage. And this contents can be related to SDG6, clean water and sanitation.
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