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dc.contributor.authorKimei, Erica
dc.contributor.authorNyambo, Devotha
dc.contributor.authorMduma, Neema
dc.contributor.authorKaijage, Shubi
dc.date.accessioned2024-04-24T06:52:19Z
dc.date.available2024-04-24T06:52:19Z
dc.date.issued2024-03-06
dc.identifier.urihttps://dspace.nm-aist.ac.tz/handle/20.500.12479/2517
dc.descriptionThis research article of sustainability was published by MDPI,2024en_US
dc.description.abstractUncertainty quantification and sensitivity analysis are essential for improving the modeling and estimation of greenhouse gas emissions in livestock farming to evaluate and reduce the impact of uncertainty in input parameters to model output. The present study is a comprehensive review of the sources of uncertainty and techniques used in uncertainty analysis, quantification, and sensitivity analysis. The search process involved rigorous selection criteria and articles retrieved from the Science Direct, Google Scholar, and Scopus databases and exported to RAYYAN for further screening. This review found that identifying the sources of uncertainty, implementing quantifying uncertainty, and analyzing sensitivity are of utmost importance in accurately estimating greenhouse gas emissions. This study proposes the development of an EcoPrecision framework for enhanced precision livestock farming, and estimation of emissions, to address the uncertainties in greenhouse gas emissions and climate change mitigationen_US
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.subjectgreenhouse gas emissionen_US
dc.subjectruminant livestocken_US
dc.subjectuncertainty analysisen_US
dc.subjectsensitivity analysisen_US
dc.subjectcarbon dioxideen_US
dc.subjectEcoPrecision frameworken_US
dc.subjectnitrous oxideen_US
dc.titleReview of Sources of Uncertainty and Techniques Used in Uncertainty Quantification and Sensitivity Analysis to Estimate Greenhouse Gas Emissions from Ruminantsen_US
dc.typeArticleen_US


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