Leaf Classification of Costus Plant Species Using Convolutional Neural Network

R. Cruz, Simon Guevarra, J. Villaverde
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Abstract

There are a lot of different types of Costus plants, however not all of them are to be considered as Insulin plants. This study focused on the Insulin leaf identification using convolutional neural network. The Keras deep learning API is running on top of the machine learning platform. TensorFlow is the library of deep learning sequential models which provided systematic arrangement of layers from transferring the input data to a new sequential layer. As for the convolutional neural network, it takes the input costus leaf image, assigns importance and inspects the difference between the sample leaf. The accuracy of the system was 86.67%.
基于卷积神经网络的木香植物叶片分类
木香属植物有很多不同的类型,但并不是所有的都被认为是胰岛素植物。利用卷积神经网络对胰岛素叶片进行鉴定。Keras深度学习API运行在机器学习平台之上。TensorFlow是一个深度学习序列模型库,它提供了从输入数据到新的序列层的系统排列。对于卷积神经网络,它取输入的木香叶图像,分配重要性并检查样本叶之间的差异。系统的准确率为86.67%。
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