Abstract
The paper presents an innovative method based on vision techniques for rapid assessment of contamination in the mass of stored maize grain. The research was carried out in a selected grain warehouse in the Opolskie Province. Maize grain was used in the studies, which was subjected to tests based on computer image analysis. To assess the state of maize grain contamination, a proprietary computer application based on the RGB model was used.
Highlights
The evaluation of quality characteristics is increasingly important due to the need to establish the purchase price and to ensure the continued use of seeds
The aim of the study was to develop a fast method for the assessment of contamination in the mass of stored maize grain based on vision methods
The temperature of maize grains was closely linked to the moisture content, which decreased depending on the temperature
Summary
The evaluation of quality characteristics is increasingly important due to the need to establish the purchase price and to ensure the continued use of seeds. The cereal industry is responsible for ensuring adequate protection during storage in order to preserve the properties and taste of the seeds. To achieve such an effect, the industry has a number of technologies and processes at its disposal. The main causes of losses are: metabolism of seeds, activity of cereal pests, improper storage conditions and transport. Such modern techniques include computer image analysis [8,9]
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