基于计算机视觉信息处理技术的苹果自动分级研究

随着社会经济的快速发展和人们消费水平不断的提高,消费者在购买苹果时对其品质的要求也越来越高。在传统农产品加工作业中,导致分级精度低和劳动生产率低。利用计算机视觉信息处理技术,依据主特征参量对苹果进行自动分级,相较于传统的苹果等级人工分离方法,不仅提高了苹果等级分离的正确率,且极大地节约了劳动力。

Apple Automatic Grading Computer Vision Information Processing Technology

With the rapid socio-economic development , people's consumption levels continue to increase , people are buying Apple its quality requirements are also getting higher and higher , the market is now on the quality of apple grading sales .In the traditional agro-processing operations , separating workers picking fruit and put them in bags or boxes on the ground , and then be transported manually to the trailer park where to be sent to the area of post -harvest packaging line . Note that this hierarchical model is inefficient , more importantly , which includes dead time , it is difficult to fully consid-er the situation of each apple , resulting classification accuracy and low labor utilization rate .The computer system has been widely used in precision agriculture , such as detecting and removing weeds yield grade , automatic harvesting of fruits and vegetables or agricultural products .How it works:computer vision acquisition variety of apple image feature ex-traction , using edge detection , image enhancement , image binarization image data processing method for image analysis acquisition , processing feature can set up multiple , according to the main characteristic parameters apple automatic grading.The results show that the traditional apple grade artificial separation method compared to using machine vision grade apples were separated , not only improve the accuracy of the apple grade separation , but also greatly save labor .