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An Image Based Diagnostic Expert System for Green Leafy Vegetables and Herbs

机译:基于图像的绿叶蔬菜和草药诊断专家系统

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摘要

The project relates to the broad fields of image processing and artificial intelligence is an application of expert system that provides systems the ability to automatically learn and improve the old methods. The main aim of this project to develop an expert system which can identify the and gives the preventing system for plant diseases since the agriculture sector needs a proper awareness of the making end user to understand about the farming issues. The steps required in the process are pre- processing, training and identification and prevention. The diseases considered are :bacterial leaf spot on spinach, downy mildew on basil, leaf spot on coriander, which can cause heavy loss to crop. The Expert system based up on fuzzy rule logic is exploited for detecting the pathology of the leaf This paper suggests an artificial intelligent based machine learning expert system which can provide more accurate results related to the identification and classification of leaf diseases. In his work, disease classification on these crops are carried out using entropy values such as MSE and PSNR achieved good results.
机译:该项目涉及图像处理的广泛领域,人工智能是专家系统的应用,提供系统自动学习和改进旧方法的能力。该项目的主要目的是开发一个专家系统,可以识别并给予植物疾病的预防系统,因为农业部门需要适当的认识到最终用户了解农业问题。该过程所需的步骤是预处理,培训和识别和预防。考虑的疾病是:菠菜上的细菌叶斑,柔软的粪便在罗勒,香菜的​​叶斑,这可能导致造成重大损失。基于模糊规则逻辑的专家系统被利用,用于检测叶子的病理学本文提出了一种人工智能基于机器学习专家系统,可以提供与叶片疾病的鉴定和分类相关的更准确的结果。在他的工作中,使用诸如MSE和PSNR等熵的值进行了良好效果的熵值进行了疾病分类。

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