A Spectroscopy-Based Approach for Automated Nondestructive Maturity Grading of Peach Fruits

摘要: This paper presents an automated approach for peach fruit maturity grading that, by exploiting fiber-optic spectroscopy-based sensors and multivariate processing techniques, minimizes the operator intervention while reducing discharge waste. The use of a spectroscopic sensor complies with so-called nondestructive measurement method, which enables fast repeated measurements to be performed at single level avoiding damage loss. Maturity is accomplished retrieving estimates flesh firmness means retrieval techniques applied reflectance spectra acquired spectrometer retrieved values within framework fuzzy classifier. A decision support system developed provide user category associated reliability. Experimental results show that effective fruits affected high degree variability. lays foundations realization easy-to-use sustainable systems.