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

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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Bibliographic Details
Main Authors: Tymoteusz Miller, Grzegorz Mikiciuk, Anna Kisiel, Małgorzata Mikiciuk, Dominika Paliwoda, Lidia Sas-Paszt, Danuta Cembrowska-Lech, Adrianna Krzemińska, Agnieszka Kozioł, Adam Brysiewicz
Format: Article
Language:English
Published: MDPI AG 2023-08-01
Series:Agriculture
Subjects:
machine learning
predictive analytics
soil microbiome
climate resilience
crop yield enhancement
SVM
Online Access:https://www.mdpi.com/2077-0472/13/8/1622

Internet

https://www.mdpi.com/2077-0472/13/8/1622

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