In order to improve the accuracy of pork freshness identification, a method for pork freshness identification based on improved residual network and transfer learning was proposed. First of all, the p...
Food analysis is a challenging analytical problem, often addressed using sophisticated laboratory methods that produce large data sets. Linear and non-linear multivariate methods can be used to proces...
Discrimination of genetically modified organisms is increasingly demanded by legislation and consumers worldwide. The feasibility of a non-destructive discrimination of transgenic rice seeds from its ...
Discrimination of genetically modified organisms is increasingly demanded by legislation and consumers worldwide. The feasibility of a non-destructive discrimination of glyphosate-resistant and conven...
BACKGROUND Rancidity is an important attribute for quality assessment of butter cookies, while traditional methods for rancidity measurement are usually laborious, destructive and prone to operational...
BACKGROUND OvaSpec is a new, fully automated, vision-based instrument for assessing the quantity (concentration) and quality (embryonation percentage) of Trichuris suis parasite eggs in liquid suspens...
Author Summary: In current industrial environments there is an increasing need for practical and inexpensive quality control systems to detect the foreign food materials in powder food processing line...
As a synergistic integration between spectroscopy and imaging technologies, spectral imaging modalities have been emerged to tackle quality evaluation dilemmas by proposing different designs with effe...
Abstract Total volatile basic nitrogen (TVB-N) content is one of core indicators for evaluating pork’s freshness. This paper attempted to non-destructively sensing TVB-N content in pork meat using nea...
Abstract This paper investigated a usage of multispectral imaging system based on single shot method for detecting the foreign matter (FM) in the pickled and dried mustard (PDM) on a moving conveyor b...
Abstract The special nature of hyperspectral imaging (HSI) data requires special image analysis treatments using mathematical, statistical, and software programming approaches. These operations are cr...
Abstract Multispectral imaging is a new technology that is being deployed to assess seed quality parameters. Examples of applications in the detection and identification of fungi on seeds are presente...
Abstract Background Thermal imaging is a non-destructive technique which has emerged as a powerful analytical tool in the agriculture and food industries. Thermal imaging analysis converts the radiati...
Abstract Automatic image analysis is a crucial component of many intelligent systems designed for high-level understanding of documents. Most document image understanding systems are usually based on ...
A coefficient CW, which was defined as the ratio of NIR (near infrared) to the red reflected spectral response of the spectrometer, with a standard whiteboard as the measuring object, was introduced t...