Discriminative Power of Geometric Parameters of Different Cultivars of Sour Cherry Pits Determined Using Machine Learning

Ewa Ropelewska,Kadir Sabanci,Muhammet Fatih Aslan

doi:10.3390/agriculture11121212

Ewa Ropelewska, Kadir Sabanci + Show 1 more

Open Access

https://doi.org/10.3390/agriculture11121212

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Abstract

The aim of this study was to develop models based on linear dimensions or shape factors, and the sets of combined linear dimensions and shape factors for discrimination of sour cherry pits of different cultivars (‘Debreceni botermo’, ‘Łutówka’, ‘Nefris’, ‘Kelleris’). The geometric parameters were calculated using image processing. The pits of different sour cherry cultivars statistically significantly differed in terms of selected dimensions and shape factors. The discriminative models built based on linear dimensions produced average accuracies of up to 95% for distinguishing the pit cultivars in the case of ‘Nefris’ vs. ‘Kelleris’ and 72% for all four cultivars. The average accuracies for the discriminative models built based on shape factors were up to 95% for the ‘Nefris’ and ‘Kelleris’ pits and 73% for four cultivars. The models combining the linear dimensions and shape factors produced accuracies reaching 96% for the ‘Nefris’ vs. ‘Kelleris’ pits and 75% for all cultivars. The geometric parameters with high discriminative power may be used for distinguishing different cultivars of sour cherry pits. It can be of great importance for practical applications. It may allow avoiding the adulteration and mixing of different cultivars.

Highlights

Sour cherry (Prunus cerasus L.) is one of the two main species from the Prunus genus, besides sweet cherry (Prunus avium L.), with fruits globally traded
The developed models based on geometric and textural features could be more successfully applied in practice to detect falsification of sour cherry pit cultivars. The geometric parameters such as linear dimensions and shape factors proved to be useful for the discrimination of sour cherry pits belonging to different cultivars
The discriminative models built based on sets of linear dimensions or shape factors and combined linear dimensions and shape factors provided very high results

Summary

Introduction

Sour (tart) cherry (Prunus cerasus L.) is one of the two main species from the Prunus genus, besides sweet cherry (Prunus avium L.), with fruits globally traded. These fruit crops have been used by humans since 5000–4000 BCE, which was determined based on cherry pits from archaeological sites. Due to the health benefits of cherries, tree crop cultivation should increase, and processing technology should be improved [1]. A small number of sour cherries is consumed fresh. The pit of cherry fruit accounts for 6.30% by weight or even

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