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Modeling Grape Leaf Quality using Image Processing Technique

Mohammad Mohammadi Hashemi1*, Omid Bahmani2

With the aim of quality investigation of the grape leaves by using image processing technique, the geometrical characteristics of the grape leaf including its area and perimeter are extracted and numerical value is given based on the defined index. For this purpose, leaves of four grape varieties were collected from different areas of Boroujerd City in Iran and modeling was done according to this research method. By categorizing the results that range between zero and one, two grape varieties have better Quality Index than other varieties and it is suggested as a suitable type for leaf use.

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Химическая реферативная служба (CAS)
Google Scholar
Открыть J-ворота
Академические ключи
ResearchBible
CiteFactor
Космос ЕСЛИ
Библиотека электронных журналов
РефСик
Университет Хамдарда
Европейская федерация информационных технологий в сельском хозяйстве (EFITA)
научный руководитель
Импакт-фактор Международного инновационного журнала (IIJIF)
Международный институт организованных исследований (I2OR)
Cosmos
Секретные лаборатории поисковых систем

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