Kapitel/Beitrag aus dem Buch: Beyerer, J et al. 2023. OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings.
This paper describes a novel computer vision method for the estimation of lycopene concentration in tomatoes using a multispectral imaging approach with up to 15 bands. It is shown that combining intensity measurements at wavelengths from near-infrared to ultraviolet using a neural network model achieved correlation of R2=0.977 and RMS error=4.63 mg/kg against ground truth lycopene concentration. Our results are comparable or superior to other methods from the literature, which are analysed in detail in the paper. The method can be reproduced with minimal cost and demonstrates the feasibility of the method for industrial application. The main contribution is that a broader range of wavelengths are considered compared to most previous work, with rigorous analysis using a combination of simple regression and artificial neural networks.
Mlynarik, M et al. 2023. Multispectral analysis for the determination of lycopene concentration in tomatoes. In: Beyerer, J et al (eds.), OCM 2023 - 6th International Conference on Optical Characterization of Materials, March 22nd – 23rd, 2023, Karlsruhe, Germany : Conference Proceedings. Karlsruhe: KIT Scientific Publishing. DOI: https://doi.org/10.58895/ksp/1000155014-7
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Veröffentlicht am 25. Mai 2023