کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
8892571 | 1628761 | 2018 | 8 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Automatic detection of mango ripening stages - An application of information technology to botany
ترجمه فارسی عنوان
تشخیص اتوماتیک مراحل رسیدن انبه - استفاده از فناوری اطلاعات به گیاه
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کلمات کلیدی
بلوغ، فهرست مطالب، طبقه بندی، تصویر ویژگی، دقت، ارزیابی،
موضوعات مرتبط
علوم زیستی و بیوفناوری
علوم کشاورزی و بیولوژیک
دانش باغداری
چکیده انگلیسی
Maturity is the most important factor to determine the storage-life and quality of fruits like mangoes. Fruit maturity can be recognized by different attributes and among them skin color is the most significant criteria for judging maturity. Typically, human experts visually detect the fruit color to identify the maturity stages which is very prone to error. In this paper, a method of digital image processing has been proposed to classify mangoes into six maturity stages according to the United States department of agriculture (USDA) standard classification. The experimentation considers sample images of more than 100 mangoes of different stages. A total of 24 image features are extracted and then correlation based and information gain based evaluation has been performed in order to select the most informative feature sets. Categorization is done using the decision tree which provides up to 96% classification accuracy.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Scientia Horticulturae - Volume 237, 14 July 2018, Pages 156-163
Journal: Scientia Horticulturae - Volume 237, 14 July 2018, Pages 156-163
نویسندگان
Farjana Sultana Mim, Syed Md. Galib, Md. Fakhrul Hasan, Sanjida Akther Jerin,