An increase in applying computer image analysis in different research areas has recently been observed. The food quality assessments performed in order to replace classical instrumental methods is one of the areas of interest. The objective of this work was to develop a vision system for the assessment of potato quality and to compare the results with the ones obtained from the instrumental method. For this purpose, the Denar variety of potato was examined and analyzed. The characteristic qualities typical for the Denar tuber were chosen. The assessment results were made on the basis of a comparison between the typical qualities of the Denar tuber and those of the particular tuber examined. During the research, digital photos of the potatoes were taken. These photos were the source of assessment in the computer program developed during the study.
REFERENCES(7)
1.
Koszela K., Weres J.: Neuronowa klasyfikacja obrazów suszu warzywnego. Inżynieria Rolnicza, 2009, nr 8 (117).
Koszela K., Boniecki P., Weres J.: Ocena efektywności neuronowego prognozowania w oparciu o wybrane metody na przykładzie dystrybucji produktów rolniczych. Inżynieria Rolnicza, 2005, nr 2(62).
Piecyk M.: Pobieranie i przygotowywanie próbek do analiz [W:] Wybrane zagadnienia z analizy żywności. Red. Obiedziński M. Warszawa: Wydawnictwo SGGW, 2009.
We process personal data collected when visiting the website. The function of obtaining information about users and their behavior is carried out by voluntarily entered information in forms and saving cookies in end devices. Data, including cookies, are used to provide services, improve the user experience and to analyze the traffic in accordance with the Privacy policy. Data are also collected and processed by Google Analytics tool (more).
You can change cookies settings in your browser. Restricted use of cookies in the browser configuration may affect some functionalities of the website.