Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes

ماشین های کشاورزی

Article 5, Volume 10, Issue 1 - Serial Number 19, 2020, Pages 49-58   

Document Type: Research Article-en

DOI: 10.22067/jam.v10i1.79800

Authors

S. Babazadeh¹; P. Ahmadi Moghaddam^{* 1}; A. Sabatyan²; F. Sharifian¹

¹Department of Mechanical Engineering of Biosystems, Faculty of Agriculture, Urmia University, Urmia, Iran

²Department of Physics, Faculty of Sciences, Urmia University, Urmia, Iran

Abstract

The overall objective of this research is to check the abilities of two non-destructive techniques, the digital imaging (DI) and laser light backscattering imaging (LLBI), on detection of α-solanine toxicant in potatoes. Potato samples were classified in healthy and toxic categories based on the amount of α-solanine. For quantifying α-solanine in potato tubers, high-performance liquid chromatography (HPLC) has been used. The results of classification showed that single layer perceptron neural networks can classify potatoes with the accuracies of 94.28% and 98.66% by DI and LLBI systems (Donald cultivar), respectively. It can be said that LLBI systems might take precedent over DI systems due to their high accuracy, rapidity, and industrial capability.

Keywords

Backscattering imaging; Digital imaging; Glycoalkaloids; Liquid chromatography; Quality inspection

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