Recognition of artificial ripening tomato and nature mature tomato based on computer vision

被引：0
|
作者：
Zhao H. [1 ,2 ]
Zhou X. [3 ]
机构：
[1] Engineering Technology Research Center of Optoelectronic Technology Appliance, Tongling 244000, AnHui Province
[2] Department of Electrical Engineering, Tongling University
[3] No.43 Research Institute, China Electronic Science and Technology Group Company
来源：
Nongye Gongcheng Xuebao/Transactions of the Chinese Society of Agricultural Engineering | 2011年 / 27卷 / 02期
关键词：
Artificial ripening tomato; Computer vision; Genetic algorithms; Neural networks;
D O I：
10.3969/j.issn.1002-6819.2011.02.060
中图分类号：
学科分类号：
摘要：
Nowadays some vegetable farmers pick unripe tomatoes and treat them with ethylene to quicken ripeness in China. In order to keep artificial ripening tomato which harming consumer's health from entering into melon and fruit market, the hardware structure of artificial ripening tomato recognition system was given. The colour parameters RGB (red, green, blue) of transmitted light of tomatoes were obtained through computer vision device, and the RGB values were converted into HIS (hue, intensity, saturation) values. The multilayer feedforward neural networks with genetic algorithm training realized the automated recognition of artificial ripening tomato. The results of test showed that accurate recognition rate of the system was 91.7%, and the method can provide references for further research on recognition of artificial ripening tomato and nature mature tomato.
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页码：355 / 359
页数：4
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