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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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Principais autores: 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
Format: Artigo
Sprog:Inglês
Udgivet: Frontiers Media S.A. 2024-02-01
Serier:Frontiers in Sustainable Food Systems
Fag:
drought
maize
machine learning
GA
ensemble
Online adgang:https://www.frontiersin.org/articles/10.3389/fsufs.2024.1334421/full
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