Application of Machine Learning Models in Agricultural and Meteorological Sciences (PDF)
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...
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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 predictinghydrological 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.
Akram Seifi is an associate professor at Water and Science Engineering Department of Vali-e-Asr University of Rafsanjan, Iran, with broad research interests in environmental science, water quality, and drip irrigation management, with a particular focus on artificial intelligence modeling. She holds a Ph.D. and M.Sc. degrees on Irrigation and Drainage Engineering from the Tarbiat Modares University, Tehran.
Fatemeh Barzegari Banadkooki is an assistant professor at Agricultural Department, Payame Noor University, Tehran, Iran, with broad research interests in environmental science, water quality, and water resource management, with a particular focus on artificial intelligence modeling. She holds a Ph.D. on Watershed Management Science from the Yazd University, Yazd.
- Autoren: Mohammad Ehteram , Akram Seifi , Fatemeh barzegari banadkooki
- 2023, 2023, 196 Seiten, Englisch
- Verlag: Springer Nature Singapore
- ISBN-10: 9811997330
- ISBN-13: 9789811997334
- Erscheinungsdatum: 21.03.2023
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 7.67 MB
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