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Published in:
2011 | OriginalPaper | Chapter
A New Index for Maturity Measurement of On-Vine Tomato Fruits and Its Spectroscopic Finger-Print
Author : Haiqing Yang
Published in: Advanced Research on Computer Science and Information Engineering
Publisher: Springer Berlin Heidelberg
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This study aims to using visible and near infrared spectroscopy (VIS-NIRS) for
in situ
determination of tomato maturity. A new index (GS) defined as the ratio of current growing age (days) to on-vine duration before harvest (days) was proposed. A partial least squares regression (PLSR) with leave-one-out cross validation was used to build calibration models for each cultivar spectra and the combined spectra of all cultivars. Result shows that PLSR for GS is successful and robust in predicting tomato maturity with coefficient of determination (
R
2
) of 0.89-0.92, and residual prediction deviation (RPD) of 3.00-3.70 for the single cultivar model and the general one. The analysis of PLSR coefficient plot indicates the consistency of assigning important wavelength bands for tomato cultivars. It is concluded that the proposed GS index can be adopted with common-purpose for maturity determination of on-vine tomatoes, which allows for selective harvest of tomatoes by a picking robot.