First, it realized automatic identification of the common five kinds of maize leaf disease, and the recognition accuracy rate of over 90%. Secondly, Bayesian method and fuzzy pattern recognition method are used in the diagnosis of maize leaf disease.
本研究取得了以下两方面进展:第一,实现了锈病、弯饱菌叶斑病、灰斑病,褐斑病和小斑病五种常见玉米叶部病害的自动识别,识别准确率达到90%以上;第二,实现了贝叶斯方法和模糊模式识别方法在玉米叶部病害诊断中的应用,并综合三种识别方法各自的优势,得出最终分类结果,提高了识别的准确性和可靠性。
参考来源 - 基于图像识别的玉米叶部病害诊断技术研究·2,447,543篇论文数据,部分数据来源于NoteExpress
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