VISUAL QUALITY EVALUATION OF MALTING BARLEY WITH USE OF NEURAL IMAGE ANALYSIS

One of the most important stages of the production processes is the quality evaluation. The same regards to beer production and its components: hop, yeast, malting barley and the others ingredients. Presented project deals with the complex quality evaluation of malting barley used for malt production. Its main goal is to elaborate complete methodology for the identification of varieties, the level of contamination and other visual features of malting barley with the use of computer science technologies, such as neural image analysis.