Application of Machine Learning Models in Agricultural and Meteorological Sciences

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 irrig...

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Bibliographic Details

Main Authors:	Ehteram, Mohammad (Author), Seifi, Akram (Author), Banadkooki, Fatemeh Barzegari (Author)
Corporate Author:	SpringerLink (Online service)
Format:	Electronic eBook
Language:	English
Published:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edition:	1st ed. 2023.
Subjects:	Machine learning. Atmospheric science. Subsistence farming. Machine Learning. Atmospheric Science. Subsistence Agriculture.
Online Access:	https://doi.org/10.1007/978-981-19-9733-4
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