Development of an Optical System with an Orientation Module to Detect Surface Damage to Potato Tubers

Alexey Dorokhov, Alexander Aksenov, Alexey Sibirev (), Dmitry Hort, Maxim Mosyakov, Nikolay Sazonov and Maria Godyaeva
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Alexey Dorokhov: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia
Alexander Aksenov: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia
Alexey Sibirev: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia
Dmitry Hort: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia
Maxim Mosyakov: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia
Nikolay Sazonov: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia
Maria Godyaeva: FSBSI “Federal Scientific Agronomic and Engineering Center VIM”, Moscow 109428, Russia

Agriculture, 2023, vol. 13, issue 6, 1-27

Abstract: This method is a variant of non-destructive multiparametric surface analysis and includes the implementation of hyperspectral and RGB image processing approaches from different angles. This work is based on a fundamental hyperspectral survey system for obtaining data on scanned biological objects in many spectral ranges and with several possible variants of assembling a system with different types of surface illumination with point light and diffuse illumination. The implementation of the technology through the use of a diffused light source provides the diffuse illumination of a biological object with pronounced symptoms of rarefaction on the surface of a biological object—in this case, potato tubers, due to the presence of signs of disease on the potato peel, as well as their deformation. Using broadband lamps, a short-pass filter is located between the source and the object (λ ≤ 400 nm, λ may vary depending on the excitation length), and a long-pass filter (λ ≥ 400 nm) between the root or onion and the chamber. The use of a vision system with a created database containing models of real defects in potato tubers showed a high sorting efficiency, providing an accuracy of sorting by size of 95.4%, and an accuracy by the presence of defects of 93.1%.

Keywords: optical system; damage; tubers; experiment; evaluation; motion flow (search for similar items in EconPapers)
JEL-codes: Q1 Q10 Q11 Q12 Q13 Q14 Q15 Q16 Q17 Q18 (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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