A review on plant disease detection using image processing

Anil A. Bharate, M. Shirdhonkar
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引用次数: 42

Abstract

India is the agriculture based country, since it contributes 7.68 percent of total global agricultural output. In India, agricultural sector contributes about seventeen percentage of total Indian gross domestic product (GDP). Effective growth and improved yield of plants are necessary for increment of farmer's profit and economy of India. For this purpose farmers need domain experts for manual monitoring of plants. But manual monitoring will not give satisfactory result all the time. Moreover, domain experts are not available at all regions and are expensive as farmers have to pay fees including travelling charges. Hence, it requires developing an efficient smart farming technique which will help for better yield and growth with less human efforts. In this paper, we provide a review on methods developed by various researchers for detection of diseases in plants, in the field of image processing. It includes research in disease detection of plants such as apple, grapes, pepper, pomegranate, tomato etc.
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植物病害图像检测技术综述
印度是一个以农业为基础的国家,因为它贡献了全球农业总产量的7.68%。在印度,农业部门贡献了印度国内生产总值(GDP)的17%。植物的有效生长和产量的提高是印度农民利润和经济增长的必要条件。为此,农民需要领域专家对植物进行人工监测。但人工监测并非总是能得到满意的结果。此外,并非所有地区都有领域专家,而且价格昂贵,因为农民必须支付包括交通费在内的费用。因此,它需要开发一种高效的智能农业技术,这将有助于以更少的人力实现更高的产量和增长。本文对图像处理领域中植物病害检测方法的研究进展进行了综述。包括对苹果、葡萄、辣椒、石榴、番茄等植物病害检测的研究。
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