Machine learning and analytic hierarchy process integration for selecting a sustainable tractor

Abstract Selecting the appropriate tractor for small-scale farms is a complex process due to the multitude of technical, environmental, and economic criteria that must be evaluated. This study addresses this challenge by integrating the Analytic Hierarchy Process (AHP) with machine learning (ML) to...

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出版年:	Scientific Reports
主要な著者:	Hassan A. A. Sayed, Mahmoud A. Abdelhamid, Tarek Kh. Abdelkader, Qinghui Lai, Ahmed M. Mousa, Mohamed Refai
フォーマット:	論文
言語:	英語
出版事項:	Nature Portfolio 2024-11-01
主題:	Agricultural mechanization Tractor selection Small farms AHP Machine learning in agriculture
オンライン･アクセス:	https://doi.org/10.1038/s41598-024-78023-z