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Predicting Size and Length of Apple at Harvest

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  • Abdulrazag Mohamed Etelawi

Abstract

This study aims to know the time between apple production and marketing to help decision makers for apple products at Washington, in the USA. In order to do so, it needs an application of OLS for a linear and non- linear model for diameter apples and length apple over the years 2010-2013. The diameter or size apple linear model includes DAFB, FB, latitude, mean80, years, and FB. The results indicated that all independent variables are significant and Adj R-squared explains about 75 percent of diameter apple. While the length apple linear model includes DAFB, years, FB, longitude, elevation, latitude, mean120, and mean70.The resulted sate that all independent variables are significant and Adj-R-squares illuminates about 84percent of size apple. Moreover, Actual value and predicted values for linear and nonlinear models are very close. Thus, those models can help farmers make a good decision for apple industry, and achieve to get best size and length for their apple crop.

Suggested Citation

  • Abdulrazag Mohamed Etelawi, 2022. "Predicting Size and Length of Apple at Harvest," International Journal of Economics and Finance, Canadian Center of Science and Education, vol. 14(1), pages 1-79, January.
    • Handle: RePEc:ibn:ijefaa:v:14:y:2022:i:1:p:79
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    JEL classification:

    • R00 - Urban, Rural, Regional, Real Estate, and Transportation Economics - - General - - - General
    • Z0 - Other Special Topics - - General

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