A nondestructive method to evaluate carrot quality using visible-near infrared spectroscopy

Ahmed M. Rady, Shinta Sugiharto, Akinbode Adedeji

Research output: Contribution to conferencePaperpeer-review


Carrot is a root crop that has relatively high content of Vitamin C and carotenoids. Carrot is usually consumed fresh, juiced or cooked. It is also a major source of industrial natural carotenoids, a precursor to vitamin A. Rapid determination of quality parameters indeed helps process engineers and storage managers to track the condition of root crops such as carrots during storage and/or before processing. The objectives of this study were to apply VIS-NIR spectroscopy to noninvasively assess and predict the various quality attributes of carrot (cv. Nectar) including color parameters (Lab), moisture content (MC), total soluble solids (TSS), firmness, Vitamin C content, and β-carotene. Two spectroscopic sensors with different range were used (400-1000 nm and 900-1700 nm). Samples included whole roots and sliced discs. The best prediction models using partial least squares regression (PLSR) yielded correlation coefficient, r and ratio of performance to deviation or r(RPD) with values of 0.92 (2.46), 0.85(1.65), 0.94(2.85), 0.96(3.55), 1.00(17.92), 0.90(2.16), 0.98(4.73), and 0.97(3.88) for L, a, b, firmness, MC, TSS, Vitamin C, and β-carotene, respectively. Generally, whole roots and VIS-NIR sensor have high prediction (r = 0.69-1.00). Results obtained in this research could be enhanced with more samples to develop a better and higher accuracy predictive multispectral model for carrot quality prediction with possible extension to other similar vegetables in post-harvest losses reduction.

Original languageEnglish
StatePublished - 2017
Event2017 ASABE Annual International Meeting - Spokane, United States
Duration: Jul 16 2017Jul 19 2017


Conference2017 ASABE Annual International Meeting
Country/TerritoryUnited States

Bibliographical note

Funding Information:
The authors acknowledge the Kentucky Agricultural Experiment Station for the funding support of this project.


  • Carotenoids
  • Carrot
  • Multivariate
  • Spectroscopy
  • Vis-NIR spectroscopy
  • Vitamin C

ASJC Scopus subject areas

  • Bioengineering
  • Agronomy and Crop Science


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