Mass identification of mango fruits from their dimension attributes remains challenging. This is because of theunregulated shapes of these fruits. Therefore, this research aims at creating mathematical models that can demonstrate therelationship between the fruit‘s mass and dimension attributes. Hence, these models can be used in post-harvest engineeringsystems. The researchers used 100 mango fruits (Mangifera indica cv. Zebdia) to determine the mathematical relationshipbetween the fruits‘ weight and dimension attributes. The researcher measured and photographed the dimensions of thesefruits and processed the image captured for each fruit using a computer program to find the fruit‘s dimensions. The resultsobtained led to the development of six mathematical models to predict a fruit‘s mass from the dimensions. Given theseresults, the mathematical model based on the fruit‘s length shows the best performance in the mass prediction (Pearson‘sr=0.87). One can infer that a fruit‘s mass could be obtained from its dimensions. This conclusion is not generalizable toother mango cultivars. Thus, the researcher recommends conducting further studies of other cultivars to develop a unifiedmathematical model. This will be helpful in developing modern post-harvest engineering systems.
|Numero di pagine||11|
|Rivista||E-JOURNAL - CIGR|
|Stato di pubblicazione||Published - 2016|
All Science Journal Classification (ASJC) codes
- Automotive Engineering
- Agronomy and Crop Science
- Energy (miscellaneous)
- Industrial and Manufacturing Engineering
Farina, V., Elsheshetawy, H. E., Mossad, A., & El Helew, W. K. (2016). Mass modelling by dimension attributes for Mango (Mangifera indica cv. Zebdia) relevant to post-harvest and food plants engineering. E-JOURNAL - CIGR.