In this paper, we present an automatic recognition system of diseases and damages on plant leaves. The proposed system is based on classifiers combination technique, in which we have two variants of combination: serial combination of two classifiers, and hybrid combination of three classifiers including a serial combination of two classifiers in parallel with an individual classifier. Three types of features are adopted including color, texture and shape. The tests of this study to evaluate the three variants of combination are carried out on a database of 600 images of six classes (Leaf miners, Tuta absoluta and Thrips, Early blight, Late blight and powdery mildew). The comparison of results between the two methods serial and hybrid of the proposed system indicates that significant performances were obtained by applying the hybrid method for the recognition of diseases and damages on plant leaves.

中文翻译：

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多分类器组合自动识别植物叶片病害

在本文中，我们提出了一种植物叶片病害和损害的自动识别系统。所提出的系统基于分类器组合技术，其中我们有两种组合变体：两个分类器的串行组合，以及三个分类器的混合组合，包括两个分类器与单个分类器并行的串行组合。采用三种类型的特征，包括颜色、纹理和形状。本研究评估组合的三种变体的测试是在包含六类（叶螨、Tuta absoluta 和蓟马、早疫病、晚疫病和白粉病）的 600 张图像的数据库上进行的。