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Research on the Apple Non-destructive Selection Technology Based on the Fuzzy Arithmetic

机译:基于模糊算法的Apple非破坏性选择技术研究

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This paper studies mainly apples non-destructive selection technology, and presents the principle and implementation of non-destructive selection system for apple quality based on the theory of the fuzzy and neural network. Firstly, we can differentiate the kinds of apples by neural network theory. Then, the apple's quality greatly depends on its size, shape, and color, which are considered as three input parameters in selection system. The pick-up of three character parameters is handled by computer image processing. Only one output parameter is apple rating, which is fall into three grades: A, B and C. Regarding three character parameters as input, we obtain the apple grade based on fuzzy arithmetic. Finally, we set forth the archetypal non-destructive selection system, which includes robot, AGV, conveyor, sensors and etc. Results of experiments show that this method can distinguish the apple's quality as well as we set before the experiments, and the non-destructive system is feasible.
机译:本文研究主要是苹果非破坏性选择技术,并提出了基于模糊和神经网络理论的苹果品质非破坏性选择系统的原理和实施。首先,我们可以通过神经网络理论来区分各种苹果。然后,苹果的质量大大取决于其大小,形状和颜色,这些颜色被认为是选择系统中的三个输入参数。三个字符参数的提取是通过计算机图像处理处理的。只有一个输出参数是Apple评级,它分为三个等级:A,B和C.关于输入的三个字符参数,我们基于模糊算术获得Apple等级。最后,我们阐述了原型非破坏性选择系统,包括机器人,AGV,输送机,传感器等。实验结果表明,这种方法可以区分苹果的质量以及在实验前设定,以及非破坏性系统是可行的。

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