Document Type : Research Paper
Abstract
Sorting and classification of agricultural products by machine vision system reduce costs and increase quality and accuracy. This research was performed to develop an algorithm and machine vision system for separating dirty and defects eggs and classifying by volume and weight. This machine installed on transport line egg in agriculture included a digital camera, computer and mechanical device for applying commands. After prospecting images by software on computer, proportion commands sent to mechanical device. These commands were based on the dirty and size percent of eggs. The results showed that software was suitable to discern 100% dirty eggs and 1% errors for volume and weight estimation.
Keywords
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