基于共现矩阵的k近邻分类器模糊检测橘子树叶片病害

F. Jakjoud, A. Hatim, Abella Bouaddi
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引用次数: 0

摘要

在农业环境中提高生产效率是当今农业工业的一大兴趣。使用了几种技术和技术来克服该领域发展面临的主要问题。本文对基于图像处理的农场自动监控进行了研究。提出了一种柠檬树叶病害的图像处理方法。我们的方法是基于从共现矩阵中提取的Haralick参数的模糊决策者和KNN分类器的组合。测试结果令人满意,对于有限的数据库,系统的效率可以达到90%以上。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fuzzy detection orange tree leaves diseases using a co-occurrence matrix-based K-nearest neighbours classifiers
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.
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