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AE—Automation and Emerging Technologies: Multi-spectral Prediction of Unripe Tomatoes

✍ Scribed by F. Hahn

Publisher
Elsevier Science
Year
2002
Tongue
English
Weight
248 KB
Volume
81
Category
Article
ISSN
1537-5110

No coin nor oath required. For personal study only.

✦ Synopsis

The consumer at the retail outlet rejects tomatoes harvested before reaching physiological ripeness, as the produce does not ripen properly. Although many packing houses have inserted vision systems for tomato sorting and sizing, it is impossible to distinguish between fruits that will ripen and fruits that will not at the harvest day, as all the fruits are green. A tomato maturity predictive sensor was developed to be used at packing houses for detecting unripe tomatoes that will never turn red. Spectral and colour measurements were taken from green-mature tomatoes just after harvest. Colour was measured daily and used as an index for classifying "rst-day spectral data into ripe or unripe. The groups were analysed by discriminant analysis in order to obtain the best discriminant wavelengths. Those spectral bands were used by a multi-spectral imager for predicting those tomatoes that will never ripen with an accuracy of over 85%.

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