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Rapid characterization of apricot fruit quality using near and mid-infrared spectroscopy: Study of the model robustness

Abstract : The objective of this work was to evaluate the robustness of Near Infrared (NIR) and Mid-Infrared (MIR) models on a set of apricots with large phenotypic variability (eight contrasted cultivars, four maturity stages, and 180 hybrids from a cross between 'Goldrich' and 'Moniqui'). The error of prediction obtained by NIR models on intact fruit was 9.2% for soluble solids content (SSC) and 16.5% for titratable acidity (TA). Using MIR models on slurries, this error was 6.1% for SSC and 8.6% for TA. Overall, the prediction performance of models established using large phenotypic variability was stable enough for global quality traits such as SSC and TA.
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https://hal.inrae.fr/hal-02750122
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Submitted on : Wednesday, June 3, 2020 - 4:40:07 PM
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Sylvie Bureau, Maryse Reich, Catherine Renard, D. Ruiz, Jean Marc Audergon. Rapid characterization of apricot fruit quality using near and mid-infrared spectroscopy: Study of the model robustness. 28. International Horticultural Congress on Science and Horticulture for People (IHC2010): International Symposium on Postharvest Technology in the Global Market, Aug 2010, Lisbonne, Portugal. ⟨10.17660/ActaHortic.2012.934.20⟩. ⟨hal-02750122⟩

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