Machine Learning Approaches for Forecasting the Best Microbial Strains to Alleviate Drought Impact in Agriculture

Drought conditions pose significant challenges to sustainable agriculture and food security. Identifying microbial strains that can mitigate drought effects is crucial to enhance crop resilience and productivity. This study presents a comprehensive comparison of several machine learning models, incl...

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Главные авторы:	Tymoteusz Miller, Grzegorz Mikiciuk, Anna Kisiel, Małgorzata Mikiciuk, Dominika Paliwoda, Lidia Sas-Paszt, Danuta Cembrowska-Lech, Adrianna Krzemińska, Agnieszka Kozioł, Adam Brysiewicz
Формат:	Artigo
Язык:	Inglês
Опубликовано:	MDPI AG 2023-08-01
Серии:	Agriculture
Предметы:	machine learning predictive analytics soil microbiome climate resilience crop yield enhancement SVM
Online-ссылка:	https://www.mdpi.com/2077-0472/13/8/1622
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