Optical sensing system for detection of the internal and external quality attributes of apples

• Published in: Postharvest biology and technology Vol. 162; p. 111101
• Main Authors: Li, Long, Peng, Yankun, Yang, Cheng, Li, Yongyu
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier B.V 01.04.2020; Elsevier BV
• Subjects: Adaptive sampling; Apple internal qualities; Apple surface bruises; Apples; Biological Sciences; Correlation coefficient; Correlation coefficients; data collection; Datasets; Detection; Dry matter; dry matter content; Fruits; image analysis; Image classification; Image detection; Image processing; Image segmentation; Light scattering; Noise reduction; Online detection; prediction; Quality management; Random noise; Spectroscopy; technology; Visual; watersheds; CARS; Spectroscopy; SSC; ILE; Online detection; RMSE; NSR; Apple surface bruises; PCA; MLR; Apple internal qualities; PLS; EMSC; SNV; DMC; MSC; OPLECm; Visual

•An online optical sensing system was developed to detect apple qualities.•ILE-WSM method was proposed to complete the apple image segmentation.•NSR method was proposed to eliminate the scattering effects in the raw spectra.•ILE-WSM method was effective with the surface bruises detection accuracy of...