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首页> 外文期刊>Journal of Northeast Agricultural University >Automatic Identification of Tomato Maturation Using Multilayer Feed Forward Neural Network with Genetic Algorithms (GA)
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Automatic Identification of Tomato Maturation Using Multilayer Feed Forward Neural Network with Genetic Algorithms (GA)

机译:使用遗传算法(GA)的多层前馈神经网络自动识别番茄成熟度

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摘要

We set up computer vision system for tomato images. By using this system, the RGB value of tomato image was converted into HIS value whose H was used to acquire the color character of the surface of tomato To use multilayer feed forward neural networkwith GA can finish automatic identification of tomato maturation. The results of experiment showed that the accuracy was up to 94%.
机译:我们建立了用于番茄图像的计算机视觉系统。通过该系统,将番茄图像的RGB值转换为HIS值,其H值用于获取番茄表面的颜色特征。使用具有GA的多层前馈神经网络可以完成番茄成熟度的自动识别。实验结果表明,该方法的准确率高达94%。

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