Artificial neural networks in carrot utilization assessment

• Autorzy: Trajer J.
• Języki publikacji: EN

Abstrakty

EN

Carrot is a vegetable of great importance to our country. Poland is a major carrot producer in Europe. Therefore, carrot turnover, and especially quality control and its utilization, are of great importance. So far, there has been only one division of carrot into three quality categories, accepted within the European Union. The method of assessment is time-consuming and subjective. There is no method, however, which would be quick in realization and objective. Below, we proposed a quantitative carrot assessment method in the form of quality indicator and studied interdependency between carrot quality and measurable carrot colour discriminant. The indicator allows taking into consideration factors, which are decisive as regards carrot utilization.

Słowa kluczowe

EN

neural networks; quality indicator; carrot quality; carrot colour discriminant

• Wydawca: Wydawnictwo Uniwersytetu Przyrodniczo-Humanistycznego w Siedlcach
• Czasopismo: Studia Informatica : systems and information technology
• Rocznik: 2005
• Tom: Vol. 2(6)
• Strony: 65--68
• Opis fizyczny: Biblliogr. 2 poz., rys., tab.

Twórcy

autor

Trajer J.

• Faculty of Production Engineering, Warsaw Agricultural University, ul. Nowoursynowska 166, 02-787 Warszawa, Poland

Bibliografia

• 1. Oktaba W., 1980: Elementy statystyki matematycznej i metoda doświadczalna. PWN Warszawa.
• 2. Trajer J., Jaros M. i inni, 2005: Zastosowanie metod sztucznej inteligencji do oceny zmian jakości wybranych warzyw w procesach ich suszenia i przechowywania. Wydawnictwo SGGW, Warszawa.