Machine learning for optimized crop selection: a data-driven approach considering climate and soil type data

International Journal of Data Science and Analytics 2026

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Authors: Joao Henrique Gomes da Costa Cavalcanti, Moisés Cirilo de Brito Souto, Eduardo de Moura Oliveira Filho, Erich Matos Rodrigues, Yan Evangelista Barros, Allan Martins
DOI: 10.1007/s41060-025-00939-0
Cited by: 2
References: 54

Fields of Study & Subjects

Smart Agriculture and AI Soil and Land Suitability Analysis Climate change impacts on agriculture

Publication details

Journal / source
International Journal of Data Science and Analytics
Publisher
Springer Science and Business Media LLC
Volume
22
Issue
1
Publication date
8 January 2026
Language
EN