首页> 外文期刊>International journal of knowledge engineering and soft data paradigms >Fuzzy detection orange tree leaves diseases using a co-occurrence matrix-based K-nearest neighbours classifiers
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Fuzzy detection orange tree leaves diseases using a co-occurrence matrix-based K-nearest neighbours classifiers

机译:模糊检测橙树使用共同发生的基于矩阵的K-Collect邻居分类器留下疾病

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摘要

The improvement of production efficiency in the farming environment is nowadays of a great interest in the agriculture industry. Several techniques and technologies are used to overcome the main problems facing the developments on this field. In this paper, the farms image processing-based automatic monitoring is treated. We propose an image processing approach for lemon tree leaves diseases. Our approach is a combination of a fuzzy decision maker and KNN classifiers based on Haralick parameters extracted from the co-occurrence matrix. The testing results are very satisfactory and the efficiency of our system could reach aver than 90% for a limited database.
机译:现在对农业环境中的生产效率的提高是对农业产业的兴趣。若干技术和技术用于克服这一领域发展面临的主要问题。在本文中,处理了基于农场图像处理的自动监测。我们提出一种用于柠檬树的图像处理方法留下疾病。我们的方法是基于来自共发生矩阵中提取的Haralick参数的模糊决策者和KNN分类器的组合。测试结果非常令人满意,我们的系统效率可能达到限量数据库的90%。

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