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Publication Date

10-28-2015

First Page

107

Last Page

110

DOI

10.13652/j.issn.1003-5788.2015.05.027

References

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[2] 施健, 何建国, 张冬, 等. 基于计算机视觉的鲜枣大小分级系统研究[J]. 食品与机械, 2013, 29(5): 134~137.
[3] 屈年巍, 马本学, 王维新, 等. 基于机器视觉和人工神经网络的库尔勒香梨颜色分级[J]. 石河子大学学报(自然科学版), 2010, 28(4): 514~518.
[4] Bobelyn E, Serban A, Nicu M, et al. Postharvest quality of apple predicted by NIR-spectroscopy: Study of the effect of biological variability on spectra and model performance [J]. Postharvest Biology and Technology, 2010, 55(3): 133~143.
[5] Ying Yi-bin, Liu Yan-de. Nondestructive measurement of internal quality in pear using genetic algorithms and FT—NIR spectroscopy [J]. Journal of Food Engineering, 2008, 84(2): 206~213.
[6] 王松磊, 刘民法, 何建国, 等. 红枣自动快速无损检测分级机研究[J]. 农业机械学报, 2014, 45(9): 79~83.
[7] 田绪顺, 李景彬, 坎杂, 等. 基于机器视觉的红枣双面检测分级装置设计[J]. 食品与机械, 2012, 28(5): 138~140.
[8] 高晓阳, Paul H Heinemann, Joseph Irudayaraj. 基于LabVIEW的苹果擦伤分级系统设计[J]. 农业机械学报, 2006, 37(4): 152~154.
[9] 曹乐平, 谢培甫. 基于补偿模糊神经网络的立式转鼓水果分级系统设计[J]. 食品与机械, 2007, 23(2): 70~73.
[10] 魏新华. 水果机器视觉自动分选机关键技术研究[D]. 南京: 东南大学, 2008.

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