Machine learning-based evaluation of seed priming and biostimulant applications in rainfed wheat

Background Rainfed wheat suffers from water scarcity and micronutrient deficits, calling for innovative practices. This study tests zinc sulphate (ZnSO4) seed priming combined with foliar iron (Fe), zinc (ZN), and manganese (Mn) (various formulations) and uses multiple machine-learning models to pre...

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Detalhes bibliográficos

Principais autores:	Leila Sharifi, Mahdi Ghiyasi, Bardia Talebian, Younes Rezaee Danesh, Solmaz Najafi, Murat Tunçtürk, Rüveyde Tunçtürk, Beatrice Farda, Loretta Giuseppina Pace
Formato:	Artigo
Idioma:	Inglês
Publicado em:	PeerJ Inc. 2026-03-01
Colecção:	PeerJ
Assuntos:	Triticum aestivum Nanoparticles Micronutrients Linear regression Ridge regression Least absolute shrinkage and selection operator
Acesso em linha:	https://peerj.com/articles/20578.pdf
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