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Robustness of tomato quality evaluation using a portable Vis-SWNIRS for dry matter and colour

journal contribution
posted on 2018-05-04, 00:00 authored by UK Acharya, Phul SubediPhul Subedi, Kerry WalshKerry Walsh
© 2017 U. K. Acharya et al. The utility of a handheld visible-short wave near infrared spectrophotometer utilising an interactance optical geometry was assessed in context of the noninvasive determination of intact tomato dry matter content, as an index of final ripe soluble solids content, and colouration, as an index of maturation to guide a decision to harvest. Partial least squares regression model robustness was demonstrated through the use of populations of different harvest dates or growing conditions for calibration and prediction. Dry matter predictions of independent populations of fruit achieved R2 ranging from 0.86 to 0.92 and bias from -0.14 to 0.03%. For a CIE a colour model, prediction R2 ranged from 0.85 to 0.96 and bias from -1.18 to -0.08. Updating the calibration model with new samples to extend range in the attribute of interest and in sample matrix is key to better prediction performance. The handheld spectrometry system is recommended for practical implementation in tomato cultivation.

Funding

Category 3 - Industry and Other Research Income

History

Volume

2017

Start Page

1

End Page

8

Number of Pages

8

eISSN

1687-8779

ISSN

1687-8760

Additional Rights

Copyright © 2017 U. K. Acharya et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Peer Reviewed

  • Yes

Open Access

  • Yes

Acceptance Date

2017-11-07

Era Eligible

  • Yes

Journal

International Journal of Analytical Chemistry