Application of Machine Learning Models in Agricultural and Meteorological Sciences
Language: English
Published by Springer Nature B.V., 2023
- Softcover
- New

Seller: PBShop.store UK, Fairford, GLOS, United KingdomPBShop.store UK
AbeBooks seller since June 11, 1999
Condition: New
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Add to basketItem description from seller
Seller Inventory # L0-9789811997341
- Title
- Application of Machine Learning Models in Agricultural and Meteorological Sciences
- Author
- Mohammad Ehteram, Ehteram,Akram Seifi, Seifi,Fatemeh Barzegari Banadkooki, Banadkooki
- Publisher
- Springer Nature B.V.
- Publication year
- 2023
- Condition
- New
- Binding
- PAP
- Language
- English
- ISBN 10
- 9811997349
- ISBN 13
- 9789811997341
- Item weight
- 303 grams
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.
"Synopsis" may belong to another edition of this title.
PBShop.store UK
Fairford, GLOS, United Kingdom
AbeBooks seller since June 11, 1999
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