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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Auteurs principaux:	Leila Sharifi, Mahdi Ghiyasi, Bardia Talebian, Younes Rezaee Danesh, Solmaz Najafi, Murat Tunçtürk, Rüveyde Tunçtürk, Beatrice Farda, Loretta Giuseppina Pace
Format:	Artigo
Langue:	Inglês
Publié:	PeerJ Inc. 2026-03-01
Collection:	PeerJ
Sujets:	Triticum aestivum Nanoparticles Micronutrients Linear regression Ridge regression Least absolute shrinkage and selection operator
Accès en ligne:	https://peerj.com/articles/20578.pdf
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