Please use this identifier to cite or link to this item: http://hdl.handle.net/11455/71526
標題: Determination of textural indices of guava fruit using discriminate analysis by impact force
作者: Yen, M.
Wan, Y.
關鍵字: discriminate analysis
guava fruit
impact force
nondestructive quality
inspection
spectrum analysis
texture
firmness sorter
peach firmness
期刊/報告no:: Transactions of the Asae, Volume 46, Issue 4, Page(s) 1161-1166.
摘要: This research developed an effective and nondestructive method for inspecting the texture of guava fruit and highly sensitive indices of quality using an impact pendulum and discriminate analysis. Impact parameters calculated from the force-time curve, amplitudes, and spectra were used to reflect the variation in the texture of fruit during storage. Statistical discriminate analysis was conducted to determine the impact parameters and highly sensitive classification indices from combinations of parameters. Test results indicate that the two classifications by the indices, obtained from parameter sets of TA (force-time and amplitude spectrum) and AI (amplitude spectrum and imaginary part spectrum), were both on average over 80% consistent with the change in the maturity of the fruit, which was significantly more than the strength of the relationship with any single impact parameter, which yielded a classification accuracy of under 70%.
URI: http://hdl.handle.net/11455/71526
ISSN: 0001-2351
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