Determining the Most Important Physiological and Agronomic Traits Contributing to Maize Grain Yield through Machine Learning Algorithms: A New Avenue in Intelligent Agriculture

Open Access

Peer-reviewed

Research Article

Avat Shekoofa,

Affiliation Department of Crop Science, North Carolina State University, Raleigh, North Carolina, United States of America
⨯
Yahya Emam,

Affiliation Department of Crop Production and Plant Breeding, Shiraz University, Shiraz, Iran
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Navid Shekoufa,

Affiliation Department of Computer Engineering and Information Technology, Amirkabir University of Technology, Tehran, Iran
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Mansour Ebrahimi,

Affiliation Department of Biology, School of Basic Sciences, University of Qom, Qom, Iran
⨯
Esmaeil Ebrahimie

* E-mail: esmaeil.ebrahimie@adelaide.edu.au

Affiliations Department of Crop Production and Plant Breeding, Shiraz University, Shiraz, Iran, School of Molecular and Biomedical Science, The University of Adelaide, Adelaide, Australia
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Decision trees
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Maize
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Agronomy
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Agriculture
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Fertilizers
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