تشخیص عیوب ظاهری و درجهبندی گوجهفرنگی با استفاده از فناوری ماشین بینایی و شبکههای عصبی- فازی

@inproceedings{2014,
  title={تشخیص عیوب ظاهری و درجهبندی گوجهفرنگی با استفاده از فناوری ماشین بینایی و شبکههای عصبی- فازی},
  author={هادی ایزدی and سعادت کامگار and محمد حسین رئوفت},
  year={2014}
}
Introduction: The quality of agricultural products is associated with their color, size and health, grading of fruits is regarded as an important step in post-harvest processing. In most cases, manual sorting inspections depends on available manpower, time consuming and their accuracy could not be guaranteed. Machine Vision is known to be a useful tool for external features measurement (e.g. size, shape, color and defects) and in recent century, Machine Vision technology has been used for shape… CONTINUE READING

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