Wenqian Huang

TL;DR: A detailed overview of the comparative introduction, latest developments and applications of computer vision systems in the external quality inspection of fruits and vegetables is presented.

TL;DR: In this paper, a combination of Partial least squares (PLS) and least squares-support vector machine (LS-SVM) with different spectral preprocessing techniques were implemented for calibration models to determine the soluble solids content (SSC), pH and firmness of pears.

TL;DR: The overall results indicated that the proposed CNN-based classification model had great potential to be implemented in commercial packing line.

TL;DR: In this article, a multispectral imaging system with the wavelength range of 325-1100nm was built to select the effective wavelengths for detecting bruises on 'Fuji' apples.

TL;DR: A novel automatic defective apple detection method by using computer vision system combining with automatic lightness correction, number of the defect candidate (including true defect, stem and calyx) region counting, and weighted relevance vector machine (RVM) classifier is presented.