Identification of Crop Diseases Using Deep Learning Algorithm

F. Marin, M. Matache, M. Marin, C. Gurău, G. Gurău
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引用次数: 0

Abstract

In this paper we present an algorithm based on deep learning. The program allows the user to select in a graphical interface the type of plant for which it is desired to insert images for disease identification. To train and test models, we used our own data set with a relatively small number of images, and all images were captured in culture, and not in laboratory conditions. The algorithm is based on deep learning approach.
利用深度学习算法识别作物病害
本文提出了一种基于深度学习的算法。该程序允许用户在图形界面中选择需要插入图像以进行疾病识别的植物类型。为了训练和测试模型,我们使用了自己的数据集和相对较少的图像,并且所有图像都是在培养中捕获的,而不是在实验室条件下捕获的。该算法基于深度学习方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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25
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