Application of Uncertain Data Handling on the Assessment of Tomato Quality

2003-01-2545

07/07/2003

Event
International Conference On Environmental Systems
Authors Abstract
Content
The handling of uncertain data is demonstrated on an empirical grading function used for the assessment of tomato quality. The grading function studied here is designed to measure the departure of the properties of a tomato or a population of tomatoes from an assumed optimal tomato. Uncertain data are considered using the Taylor Series expansion of the grading function, a function of random variables, which provides the ability to determine the variability of the outcome of the function. Once this variability is quantified, confidence intervals are determined and considered. The degree of confidence in a result has a wide array of ramifications, ranging from providing valuable decision support to assisting in guidance of research activity. Results of this analysis are useful for the Advanced Life Support (ALS) community, as the application of the Taylor Series expansion is not limited to grading functions alone, but can be applied to any model where information describing the variability of the model inputs is available.
Meta TagsDetails
DOI
https://doi.org/10.4271/2003-01-2545
Pages
12
Citation
Rodriguez, L., Moraru, C., Lee, T., Soboyejo, A. et al., "Application of Uncertain Data Handling on the Assessment of Tomato Quality," SAE Technical Paper 2003-01-2545, 2003, https://doi.org/10.4271/2003-01-2545.
Additional Details
Publisher
Published
Jul 7, 2003
Product Code
2003-01-2545
Content Type
Technical Paper
Language
English