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• W3083053710 abstract "Field data collected from agriculture systems are often associated with large variability and uncertainty. Ignoring these uncertainties and using tentative single values of the parameters and the associated environmental impacts may lead to misleading results for policymakers. In Thailand, sugarcane production has been intensified to promote the sugar industry and to increase foreign exchange earnings, which eventually accelerated farm-level environmental impacts. Taking the case of sugarcane production in Thailand, this study aims to analyze the parameter uncertainty associated with the inputs, and uncertainty propagation to greenhouse gases and particulate matter emissions. To get a reliable insight and to overcome the limitations of using a deterministic approach, the effect of parameter uncertainty of sugarcane production systems has been computed and compared considering precision and effect size. The results clearly show that the credibility of the output obtained and conclusions drawn thereof are significantly compromised when data uncertainty is disregarded. In addition to analyzing the statistically significant differences among alternatives, incorporating the analysis of effect size greatly helps to investigate the importance of the differences among alternatives and the relevance of the uncertainty which cannot be captured by the differences in technology alone using a deterministic approach." @default.
• W3083053710 created "2020-09-11" @default.
• W3083053710 creator A5045903156 @default.
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• W3083053710 date "2020-12-01" @default.
• W3083053710 modified "2023-09-24" @default.
• W3083053710 title "Epistemic uncertainty and stochastic analysis in the sugarcane production systems in Thailand – Quantifying the confidence in comparative results" @default.
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• W3083053710 doi "https://doi.org/10.1016/j.jclepro.2020.124095" @default.
• W3083053710 hasPublicationYear "2020" @default.
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