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A Detection Model of Granary Storage Quantity Based on Deep Learning

机译:基于深度学习的粮仓储存量检测模型

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According to the special significance of grain and all the detection methods of granary storage quantity, this paper select detection methods of granary storage quantity based on pressure sensors figured with high universality, practicability and reliability, analyze them and put forward a improved version of detection method based on deep learning. This paper then analyze its feasibility and introduce its implementation method and finally summarize the advantage of deep learning in detection methods of granary storage quantity.
机译:根据粮食的特殊意义和所有粮仓储存量的检测方法,本文选择了基于高普遍性,实用性和可靠性的压力传感器的粮仓储存量的检测方法,分析它们并提出了一种改进的检测方法版本基于深度学习。本文然后分析其可行性并介绍其实施方法,最后总结了粮仓储存量检测方法深度学习的优势。

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