Abstract
This project uses data mining to group the operational data of the dehydration process of the Granny Smith apple at the Agroindustrial Surfrut company so that an optimal point in the operation can be identified...
Highlights
A food production process [1] is a process that takes edible material and prepares it to a point of sale to consumers
The data mining methodology is selected to determine the optimal point of a data set of the Granny Smith apple dehydration operation at the Agroindustrial Surfrut company, which is the sponsor of this project
The actual data from the Agroindustrial Surfrut company are analyzed in the context of data mining described in the previous methodology section
Summary
A food production process [1] is a process that takes edible material and prepares it to a point of sale to consumers. The hot air temperature will scale the temperature of the fruit and evaporate its water content into air, and the air flow will remove this water vapor. These variables are adjusted to achieve the quality of the final dried fruit product. C hen data is formable a function analytic is constructed in the form of a mathematical expression as a model representing the data. With this model, an optimal point can be calculated analytically in a systematic and precise way. Data is not always modellable, and the approach of modeling it with mathematical expression cannot always be used
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