Optimizing ensembles machine learning, genetic algorithms, and multivariate modeling for enhanced prediction of maize yield and stress tolerance index

The frequent occurrence of drought, halting from unpredictable climate-induced weather patterns, presents significant challenges in breeding drought-tolerant maize to identify adaptable genotypes. The study explores the optimization of machine learning (ML) to predict both the grain yield and stress...

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書誌詳細

主要な著者:	Muhammad Azrai, Muhammad Aqil, N. N. Andayani, Roy Efendi, Suarni, Suwardi, Muhammad Jihad, Bunyamin Zainuddin, Salim, Bahtiar, Ahmad Muliadi, Muhammad Yasin, Muhammad Fitrah Irawan Hannan, Rahman, Amiruddin Syam
フォーマット:	Artigo
言語:	Inglês
出版事項:	Frontiers Media S.A. 2024-02-01
シリーズ:	Frontiers in Sustainable Food Systems
主題:	drought maize machine learning GA ensemble
オンライン･アクセス:	https://www.frontiersin.org/articles/10.3389/fsufs.2024.1334421/full
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