The Importance of Agricultural and Meteorological Predictions Using Machine Learning Models

Mohammad Ehteram (), Akram Seifi () and Fatemeh Barzegari Banadkooki ()
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Mohammad Ehteram: Semnan University, Department of Water Engineering and Hydraulic Structures, Faculty of Civil Engineering
Akram Seifi: Vali-e-Asr University of Rafsanjan, Department of Water Science and Engineering, College of Agriculture
Fatemeh Barzegari Banadkooki: Payame Noor University, Agricultural Department

Chapter Chapter 1 in Application of Machine Learning Models in Agricultural and Meteorological Sciences, 2023, pp 1-22 from Springer

Abstract: Abstract This chapter reviews the applications of machine learning (ML) models for predicting meteorological and agricultural variables. The advantage and disadvantages of models are explained. This chapter also explains the importance of meteorological and agricultural predictions for water resource planning and management. The details of different machine learning models are explained. Afterward, the applications of these models are described. The ML includes different methods for learning predictive rules from historical datasets to predict unknown future data. Several studies have reported the superiority of ML techniques in agricultural and weather predictions that can maximize agricultural profit.

Keywords: Optimization algorithms; Agriculture systems; Machine learning models; Water resource management (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-981-19-9733-4_1

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DOI: 10.1007/978-981-19-9733-4_1

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