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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Detaylı Bibliyografya

Asıl Yazarlar:	Ehteram, Mohammad (Yazar), Seifi, Akram (Yazar), Banadkooki, Fatemeh Barzegari (Yazar)
Müşterek Yazar:	SpringerLink (Online service)
Materyal Türü:	Elektronik Ekitap
Dil:	İngilizce
Baskı/Yayın Bilgisi:	Singapore : Springer Nature Singapore : Imprint: Springer, 2023.
Edisyon:	1st ed. 2023.
Konular:	Machine learning. Atmospheric science. Subsistence farming. Machine Learning. Atmospheric Science. Subsistence Agriculture.
Online Erişim:	https://doi.org/10.1007/978-981-19-9733-4
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