Background Recent advances in signal processing technology and computational power
have increased the attention towards computer vision-based techniques in diverse …

During the past few decades, there has been a growing trend towards the use of
smartphone-based analysis systems. This is mainly due to its ubiquity, its increasing …

Differential scanning calorimetry (DSC) coupled with machine-learning tools (random forest,
gradient boosting machine, and multilayer perceptron, RF, GBM, MLP) were used to detect …

The main objectives of the study are to understand and explore critical feature wavelengths
of the obtained near-infrared (NIR) data relating to dianhong black tea quality categories, we …

In this study, series networks (AlexNet and VGG-19) and directed acyclic graph (DAG)
networks (ResNet-18, ResNet-50, and ResNet-101) with transfer learning were employed to …

Geographical traceability of marine bivalves has been explored continually, however the
traceability results have not been recognized owing to the absence of a reasonable …

Abstract Citrus fruit (Citrus nobilis Lour.) from the Indonesian region is reported to have high
economic value due to attractive nutritional, nutraceutical, and sensory attributes. However …

One of the most important problems for farmers who produce large amounts of apples is the
classification of the apples according to their types in a short time without handling them …

This work describes the optical approach for the quantitative description of sugar profiles in
peaches during storage by using single integrating sphere (SIS). The spectral profiles for the …

The extraction and classification of different kinds of defects can achieve a more
sophisticated classification of apples. In this study, a region of interest (ROI) extraction …