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Information Journal Paper

Title

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

Pages

  49-58

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.

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    APA: Copy

    BABAZADEH, S., AHMADI MOGHADDAM, P., Sabatyan, a., & SHARIFIAN, F.. (2020). Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes. JOURNAL OF AGRICULTURAL MACHINERY, 10(1 (19) ), 49-58. SID. https://sid.ir/paper/408145/en

    Vancouver: Copy

    BABAZADEH S., AHMADI MOGHADDAM P., Sabatyan a., SHARIFIAN F.. Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes. JOURNAL OF AGRICULTURAL MACHINERY[Internet]. 2020;10(1 (19) ):49-58. Available from: https://sid.ir/paper/408145/en

    IEEE: Copy

    S. BABAZADEH, P. AHMADI MOGHADDAM, a. Sabatyan, and F. SHARIFIAN, “Comparison of the Laser Backscattering and Digital Imaging Techniques on Detection of α-Solanine in Potatoes,” JOURNAL OF AGRICULTURAL MACHINERY, vol. 10, no. 1 (19) , pp. 49–58, 2020, [Online]. Available: https://sid.ir/paper/408145/en

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