Automated Hyperspectral Apple Variety Identification Based on Patch-wise Classification

Nesma Settouti; Olga Assainova; Nadine Abdallah Saab; Marwa El Bouz

doi:10.1364/AIS.2023.JW2A.28

Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES)
Technical Digest Series (Optica Publishing Group, 2023),
paper JW2A.28
•https://doi.org/10.1364/AIS.2023.JW2A.28

Automated Hyperspectral Apple Variety Identification Based on Patch-wise Classification

Nesma Settouti, Olga Assainova, Nadine Abdallah Saab, and Marwa El Bouz

Optical Sensors 2023

Munich Germany
30 July–3 August 2023
ISBN: 978-1-957171-24-1

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Joint Poster Session II and Coffee Break with Exhibitors (JW2A)

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N. Settouti, O. Assainova, N. A. Saab, and M. El Bouz, "Automated Hyperspectral Apple Variety Identification Based on Patch-wise Classification," in Optica Sensing Congress 2023 (AIS, FTS, HISE, Sensors, ES), Technical Digest Series (Optica Publishing Group, 2023), paper JW2A.28.

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Abstract

Manual apple sorting is costly and subjective. We investigate using VNIR hyperspectral imaging for an efficient and objective solution. Our study presents a patch-wise classification approach for automatic recognition of apple varieties using their hyperspectral signature.

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